Pith. sign in

Paper Citation Record · LEDGER

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning

As of 16 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2412.11582.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.11582 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:54:30.535259Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 100 outbound references displayed

  • verified exact2
  • verified fuzzy64
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e49ece3-3f2a-431f-bb2f-a63aed63b44e · outbound

This paper cites Detecting lesion bounding ellipses with gaussian proposal networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting lesion bounding ellipses with gaussian proposal networks,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.161850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.161850Z digest=sha256:41a4664e308d18d99c4ba33cbb85fa28de5ddb18f15978b0b891dd2205e8542b

Observation 1d95aa63-7920-4eb8-a79a-3e74d3c1b551 · outbound

This paper cites Detection and tracking meet drones challenge,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detection and tracking meet drones challenge,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.166776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.166776Z digest=sha256:4b80f3570c1e1b71b4278d5be62e9b258f7a27c9a6a12093b7584858a4bea593

Observation cbf52445-a513-4d23-b9b3-f4beccad7cff · outbound

This paper cites Object detection in aerial images: A large-scale benchmark and challenges,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in aerial images: A large-scale benchmark and challenges,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.170770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.170770Z digest=sha256:6f39173704d7bd2d9af75f00957c2ac7d1028a6080929b5744ea6b757c1d0951

Observation 9f0b9358-1667-42ba-960f-ad721b48d82a · outbound

This paper cites Vehicle perception from satellite,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Vehicle perception from satellite,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.175350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.175350Z digest=sha256:8d6d1aae0dea7ef6c30051f023948d4e8a272125256db80a392bde01dd881ea4

Observation 3cbfea48-269a-4066-9fef-9a51c3940563 · outbound

This paper cites Smart border surveillance system using wireless sensor network and computer vision,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Smart border surveillance system using wireless sensor network and computer vision,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.179587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.179587Z digest=sha256:fb2bde0138a527e62d0621f6eb85e50da7f1abd91871551c2bdce07f6b018368

Observation 14caaca4-5373-472d-856e-630d907c8972 · outbound

This paper cites A small- sized object detection oriented multi-scale feature fusion approach with application to defect detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A small- sized object detection oriented multi-scale feature fusion approach with application to defect detection,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.183699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.183699Z digest=sha256:e1b30fab7b6dcb6e10f219f1d4c78c7f8639a813f085957df8b5991947db3328

Observation f06449bf-1207-484e-9b49-d89ea388a62e · outbound

This paper cites Object detection in 20 years: A survey,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in 20 years: A survey,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.187584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.187584Z digest=sha256:85648001bd6efa51e2c6580944b4291bce3065fd72940b18c4999be60913a90f

Observation ffee7ad3-54e3-4e39-89c9-0fc37bc1f9ff · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.191273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.191273Z digest=sha256:f91b86cf4b44b85c57ea64dd5ebf1948d1d00a15ac7f59aaa3957131abf79b31

Observation 335c0eca-ad25-4093-a0ce-b052e85463b0 · outbound

This paper cites Oriented r-cnn for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Oriented r-cnn for object detection,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.194857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.194857Z digest=sha256:e80536c73e0159654bdf604f061732db61f605a836c81041d37066f44e90fecd

Observation 7662bb4c-4d0d-476f-93da-9724cd36400e · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Towards large-scale small object detection: Survey and benchmarks,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.198309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.198309Z digest=sha256:a9408864cebc33a4457eb6fdd39ed12566d09406eea89c540103e63b8e27f618

Observation 8ae5f92e-e0f1-4303-901c-11c9689ece27 · outbound

This paper cites Microsoft coco: Common objects in context,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Microsoft coco: Common objects in context,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.202055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.202055Z digest=sha256:011908906cbd3a15efa32866dee9ed9a84fb0dd0531f2c704d9dd73df32ca575

Observation 1f9f1e09-250f-427c-8521-f9b0e8137455 · outbound

This paper cites Tiny object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Tiny object detection in aerial images,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.205448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.205448Z digest=sha256:4ddab82b30bbc5be40299b17d85950a146c8c86acfb536b179e70abd61ab46ad

Observation a33a6b4a-60bc-4ed9-9801-65cd3d34600c · outbound

This paper cites Detecting tiny objects in aerial images: A normalized wasserstein distance and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting tiny objects in aerial images: A normalized wasserstein distance and a new benchmark,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.208958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.208958Z digest=sha256:e1f846c0287c375d0a57b971f74d7d0ca6a9ebab957c2eb2370f973a0cc45e04

Observation 0d553d5e-c6da-4a56-9fab-7487817637cd · outbound

This paper cites DOTA: A large-scale dataset for object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning DOTA: A large-scale dataset for object detection in aerial images,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.212099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.212099Z digest=sha256:91b8bd41945f306b5a3f9c011a0cf120d377f75133be38e576733a04513cdac3

Observation adb61144-bdfb-47ed-b4d4-e5d1f8366a9f · outbound

This paper cites Anchor-free oriented proposal generator for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Anchor-free oriented proposal generator for object detection,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.215324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.215324Z digest=sha256:ea29fe1ecb84be1f3013503097abcf1ac5a132745397c91c6ef47e6cd663d30e

Observation 3c884e38-0724-4fdf-b2ba-f54d63d68ece · outbound

This paper cites Dynamic coarse-to-fine learning for oriented tiny object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dynamic coarse-to-fine learning for oriented tiny object detection,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.218348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.218348Z digest=sha256:a139971b86dbb0befa9c8f647b85e6052040091de247b9688f615a857cb2dc36

Observation 9720ee86-acc3-4994-a849-fc570eab46a6 · outbound

This paper cites Wider face: A face detection benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Wider face: A face detection benchmark,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.221266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.221266Z digest=sha256:5e4ab48947f3d281ebbd7f0ec8f281ef019b69288ec1d13d6b224a3835c2b5ab

Observation 283911f8-3895-41c1-96a3-9f3e1e58c634 · outbound

This paper cites Eurocity persons: A novel benchmark for person detection in traffic scenes,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Eurocity persons: A novel benchmark for person detection in traffic scenes,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.224394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.224394Z digest=sha256:a14f92b91bfb7ea7ec89148d85400cfbc61ba07ed51ab0d6aecea009b0e0504d

Observation a11760d9-6cfc-475c-9c45-0b296e9f7dc8 · outbound

This paper cites Scale match for tiny person detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Scale match for tiny person detection,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.227669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.227669Z digest=sha256:ffb887a5c72f3c3b079cecc16ff9414f90895f65ec17b38c661eb24dff31d118

Observation 7f93d7a8-fb0b-4769-9d13-e1e790737064 · outbound

This paper cites Dense tiny object detection: A scene context guided approach and a unified benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dense tiny object detection: A scene context guided approach and a unified benchmark,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.230718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.230718Z digest=sha256:f27c87ee6d7f9cb4916b42bc34930742cf79addf85d3967722a1789a6c2cd756

Observation bacfbaf8-59e5-4cc7-8f43-9d1757d45864 · outbound

This paper cites Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.438918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.233771Z digest=sha256:d989ddeab92cb2321c39279d6bc67dfe112253f49d135c0438bebf71ad971cd6

Observation 750ca16b-b8e7-4aa6-8e91-01522702f228 · outbound

This paper cites Orientation robust object detection in aerial images using deep convolutional neural network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Orientation robust object detection in aerial images using deep convolutional neural network,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.427584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.236767Z digest=sha256:7044369eac860ecbc3027fe42b89492c791711ec36ac45d08eeb874f4ed1c2b2

Observation 9c3829fa-b24d-4eca-948a-8c8110185ba1 · outbound

This paper cites Vehicle detection in aerial imagery: A small target detection benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Vehicle detection in aerial imagery: A small target detection benchmark,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.240373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.240373Z digest=sha256:0bfcc588078f1b0216b2fcd635c567876072213ee2c155342fc1e7606332db09

Observation 0bd7fea2-920b-4a03-aaed-c47710f5585a · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.410941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.244193Z digest=sha256:4673351bc8ed9a27e69fbc81c56edd5dc9b3f7928b56c658fe011ef7c8dbb1a1

Observation 4bdf5245-b6f8-449c-bbaf-cb0c5f13baa1 · outbound

This paper cites Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.400023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.247642Z digest=sha256:53917c30ab65417d395fa65f7af4a04dd6a09f1d9694a6dbad45ad5b5e83a4ed

Observation fb8b1b4a-21e0-4093-82a7-3d4181c381ab · outbound

This paper cites Icdar 2015 competition on robust reading,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Icdar 2015 competition on robust reading,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.251141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.251141Z digest=sha256:050b63e1a2d95e0fc08866fd763286d5eaae25c160ca764359e07d63d8fbb4c0

Observation dde99947-1e0a-4d70-995e-202e92545218 · outbound

This paper cites Precise detection in densely packed scenes,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Precise detection in densely packed scenes,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.383204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.255032Z digest=sha256:0806b43490d658e8cc22e0aa9c4394ec19bf433f5452ac6dda4a855d63a7f178

Observation a73cb10d-6b2f-430e-a2ba-dedd736de275 · outbound

This paper cites The devil is in the crack orientation: A new perspective for crack detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning The devil is in the crack orientation: A new perspective for crack detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.372598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.258750Z digest=sha256:21cb3580a26e03be525794879e98ab9346fb5b0d46c1b9fec7df5d30ec16afcc

Observation 397c5b51-bbc4-41d5-a638-87d150b628d6 · outbound

This paper cites Arbitrary-oriented scene text detection via rotation proposals,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Arbitrary-oriented scene text detection via rotation proposals,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.362198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.262626Z digest=sha256:89dfecc3b83acfadf682371585f41d3c3e63ed30074f582c42074790b9b1ccca

Observation 39f2c906-5b25-4583-94df-0035d927bd4b · outbound

This paper cites Learning roi transformer for detecting oriented objects in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning roi transformer for detecting oriented objects in aerial images,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.352201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.266498Z digest=sha256:2f5b84c231ad4c379a6eed3399e5bdf18581153cbe653ff1f9748626a9b69873

Observation b11a8196-a797-466a-9842-42def067119a · outbound

This paper cites R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:54:30.622222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.270136Z digest=sha256:38039a9dbd84f5e4e3246a6fc96ecd04068297c1e719aae3f4b47b4f07ca1a91

Observation a63b0673-65af-43f9-9ef5-5bd535da8316 · outbound

This paper cites Align deep features for ori- ented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Align deep features for ori- ented object detection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.342067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.274222Z digest=sha256:3b40f7b77af9049ab1e3c96dba2b5f28d53d0eab44d3f4c4a4c06b572030a375

Observation 21ddd5d1-de62-4e5c-90c6-329f7e9c991b · outbound

This paper cites FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:54:30.607578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.277525Z digest=sha256:cfa9da7a0959ccd3bc2c33beee68e891b289ddcdf18a2fdc81f648e047500228

Observation 89db0c15-c6f8-4af9-8ff0-704dca230a35 · outbound

This paper cites Oriented reppoints for aerial object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Oriented reppoints for aerial object detection,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.281368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.281368Z digest=sha256:2283ef3f428724cb7125db70cb2ae92a4de203823491faddb92330ab072d1faf

Observation a13b037d-7a96-4e5b-b1ef-bc705dcbace3 · outbound

This paper cites Ars-detr: Aspect ratio- sensitive detection transformer for aerial oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ars-detr: Aspect ratio- sensitive detection transformer for aerial oriented object detection,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.324189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.285081Z digest=sha256:485619136ccdaca860b202dd47e2278057c7520c7ee8d9544be2140d786ce41f

Observation 7b5c0e22-0073-49e3-9bfd-c1339395db82 · outbound

This paper cites Probabilistic anchor assignment with iou prediction for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Probabilistic anchor assignment with iou prediction for object detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.312684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.288469Z digest=sha256:fac4ee76f14eba63f03730e53a1bfadadde593650b55061f48ea6d06e95e6707

Observation 93f6e734-2b7f-4c13-b7b8-5794013e926a · outbound

This paper cites Ota: Optimal transport assignment for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Ota: Optimal transport assignment for object detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.301495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.291609Z digest=sha256:3141769a499ea336f568a20fa01d5d436ecd37b8326beccc0c4279a12b910486

Observation 2a81a010-08bc-46c5-8d8b-e7b2e4574a94 · outbound

This paper cites Iqdet: Instance-wise quality distribu- tion sampling for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Iqdet: Instance-wise quality distribu- tion sampling for object detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.290265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.295171Z digest=sha256:cca97bd86984cc61e1c9952f9d1f11b188438ae459ea26a8da7ad0aa91b047b9

Observation 8cce3d1b-937a-41bd-a69e-4692e5897f51 · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.298125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.298125Z digest=sha256:80ad5a1e7ce6d2f0545a6fd017ad83aa093f0d82a5eb212ad29a58d0ccca94a2

Observation f2084f35-491e-42d2-bb85-9002f3579bf8 · outbound

This paper cites Dynamic anchor learning for arbitrary-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dynamic anchor learning for arbitrary-oriented object detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.272064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.301829Z digest=sha256:312c24bb65ce55f765dfca8c317787cb6a17e9bdb2180bb9f53d5381793afbad

Observation ed476b33-4841-4275-8719-652d65fb6ddf · outbound

This paper cites Shape-adaptive selection and measurement for oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Shape-adaptive selection and measurement for oriented object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.260692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.306176Z digest=sha256:f62513bca158d14213451ec0e2af415be94131972b3b94d406522302250e99f4

Observation bab6f3df-6e8c-4b7b-a92a-5051c9cc51a7 · outbound

This paper cites A general gaussian heatmap label assignment for arbitrary-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A general gaussian heatmap label assignment for arbitrary-oriented object detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.249018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.310564Z digest=sha256:9c4f0e2375c5c13ff4e777729143ebfb0e7515ee4f6a9a0da8bd24904e0f83e1

Observation b1c6cc0c-a5fb-4d36-b9e4-2d141f94265b · outbound

This paper cites Reppoints: Point set representation for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Reppoints: Point set representation for object detection,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.314921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.314921Z digest=sha256:8c71035044a277cbbd256b45a202cb63f106d6ac170e8edddf8330a567e4a3be

Observation 93bf1bd7-1994-4776-a878-7f04ddeaf99c · outbound

This paper cites Rfla: Gaussian receptive field based label assignment for tiny object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Rfla: Gaussian receptive field based label assignment for tiny object detection,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.230733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.318431Z digest=sha256:0a889d7cd6163c16c03146cc185e93ce349bdfa14bf9a17b13994e5f12b9b2cc

Observation c1ded6f9-c38d-4c46-859c-b80634929f0e · outbound

This paper cites Small object detection via coarse-to-fine proposal generation and imitation learning,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection via coarse-to-fine proposal generation and imitation learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.219646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.321642Z digest=sha256:4cdd5bf992c36a4f1e5e64676aa0a7596229e8ae396d378531686c34fe3d9720

Observation 6f7a5496-b80c-48a5-8888-f20641fbc852 · outbound

This paper cites Perceptual generative adversarial networks for small object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Perceptual generative adversarial networks for small object detection,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.324752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.324752Z digest=sha256:325ee82655fda7e64992ab4dfdc19c06534dcf6a60d0186380a5022f3dd308b6

Observation dfb7edc6-afcb-4795-8157-54eeda47752e · outbound

This paper cites Sod-mtgan: Small object detection via multi-task generative adversarial network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sod-mtgan: Small object detection via multi-task generative adversarial network,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.203095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.329072Z digest=sha256:c8d9618c681d44543919091f579a5873d6187f93d036f7e965673d1c407d658f

Observation d81da86f-4da1-42cb-8bc1-4f6f326eb353 · outbound

This paper cites Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.333080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.333080Z digest=sha256:fab5162c33bf66214125aa22ab96fecefb82d8654b79914fc1b331276aecaf6c

Observation a73bfc0a-44c9-428c-b013-10a998667a88 · outbound

This paper cites Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection in remote sensing images based on super-resolution with auxiliary generative adversarial networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.186911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.336664Z digest=sha256:399b2ab1eb90c2f05f53de026d9a8ab22faaf2fd07854a071ef13f28328e3e23

Observation 3d542927-2cfe-4921-bc61-a14a20258ede · outbound

This paper cites Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.176765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.340336Z digest=sha256:4150fcb53894aabeb1c52bd2b3b670dd41bfcb7b4c165cdebe3fe139bc6e68d1

Observation f4dac097-2163-4b21-9ab7-d3663e35b7c5 · outbound

This paper cites Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Small- object detection in remote sensing images with end-to-end edge- enhanced gan and object detector network,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.165816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.344123Z digest=sha256:011912bcfdd87408f950f94c8893e859415372ebfb125a895efd5385090858f0

Observation 56b0f807-6cbc-495e-9cd5-867dde0dc86d · outbound

This paper cites Dot distance for tiny object detection in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dot distance for tiny object detection in aerial images,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.155172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.347716Z digest=sha256:bca3ee2b65c028b0fd71e8bd2d8a9ac9de5e0addb91be24bc8e982a3a78705dd

Observation d80c1abf-5a98-4fe2-b25c-4c480bc23507 · outbound

This paper cites A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.351412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.351412Z digest=sha256:3de8d11f683d8f5bbb6e2bdb194631640cbea7371224ed26ae166ab362a03722

Observation 1777701f-8a16-4608-ba12-a1469bf62020 · outbound

This paper cites Kldet: Detecting tiny objects in remote sensing images via kullback-leibler divergence,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Kldet: Detecting tiny objects in remote sensing images via kullback-leibler divergence,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.143995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.355981Z digest=sha256:c00c417cce0270cee3fe342dff0eb798d6e30547528344904b3ea3a249306466

Observation 35e34217-a25b-412d-b6ac-9f80139ea263 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.132238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.360510Z digest=sha256:c573d589e95749b324d2c64c3665d139589a2ced6c5e413acbc45ec5ce11fcd2

Observation 8898d4dd-c68d-4b05-92f1-0e748acb3f27 · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Distance-iou loss: Faster and better learning for bounding box regression,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.120460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.365052Z digest=sha256:58f738c627fb04511050a50ec2357f3b356328b8194a7603428b3807f3d63800

Observation 3069a7af-acf9-4328-8cfb-4f8b0c2fcb82 · outbound

This paper cites Unitbox: An advanced object detection network,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Unitbox: An advanced object detection network,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.109353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.368632Z digest=sha256:646d214b57e7045cf76c5030da0da8dbadf21d29ad2ef528ae55983ce96d82e3

Observation 59896125-d2ae-4f90-8768-2c69bdb50cce · outbound

This paper cites Detecting rotated objects as gaussian distributions and its 3-d generalization,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Detecting rotated objects as gaussian distributions and its 3-d generalization,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.098293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.372929Z digest=sha256:81930a198a360dc2c4655da921802981cab9d22eb66b1272c41fdb9418d40026

Observation 11cfc324-afaa-4778-9d60-b5b9407cd354 · outbound

This paper cites Phase-shifting coder: Predicting accurate orientation in oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Phase-shifting coder: Predicting accurate orientation in oriented object detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.087192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.377264Z digest=sha256:719d55f03047966dec197e0246819987bfc4e848eaaccab7eeb5b3f8aad8ec50

Observation 5f32d931-b775-4624-8b35-a931917e576c · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.075792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.380724Z digest=sha256:3c5c324816429c51991722d60fcf54b57bc1dc31b383b7a8b1194da47e4c6ade

Observation 221ebf2d-059f-479a-919b-8da77b60d5d9 · outbound

This paper cites Visdrone-det2019: The vision meets drone object detection in image challenge results,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Visdrone-det2019: The vision meets drone object detection in image challenge results,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.064580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.384895Z digest=sha256:15d1b0ba440146c46bb87356c8b4e37828982c3eac5dab9b205ddfb5ee1122c6

Observation ee438055-e4d6-42c2-9266-263f1ee2e0b3 · outbound

This paper cites xView: Objects in Context in Overhead Imagery.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning xView: Objects in Context in Overhead Imagery

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.389132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.389132Z digest=sha256:bc05841ca1244f6957f7ba2cfe5c74430025b5a438f4e35877c4e14ccacd5a2e

Observation 3aaa9c06-671a-43b0-84fc-b549729af10d · outbound

This paper cites H2rbox: Horizontal box annotation is all you need for oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning H2rbox: Horizontal box annotation is all you need for oriented object detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.054057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.393545Z digest=sha256:8a3786b882e5ec1641e039ca46fa110a5246f1b20d43ea9f88a3c044cbf378d5

Observation 45202db0-4bce-4d3c-8f26-dbe4f7d63261 · outbound

This paper cites H2rbox- v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning H2rbox- v2: Incorporating symmetry for boosting horizontal box supervised oriented object detection,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.042583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.397205Z digest=sha256:91101f127e63ec77945ed78513401de2784084d0fd56a552a976e38470de7c38

Observation 5ec6c17d-16fa-44e0-97e1-d37526f62056 · outbound

This paper cites Sood: Towards semi-supervised oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sood: Towards semi-supervised oriented object detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.030949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.400326Z digest=sha256:25f04e96a882d473600f726f52976ae3a440d42816ba1381a105234ea4fae1b3

Observation 56348c9d-8fad-41e1-b42d-6d6906586d2f · outbound

This paper cites Focal loss for dense object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Focal loss for dense object detection,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.018323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.404336Z digest=sha256:9c5318ed2c5105d6a28a8113b6df7727e680c0459877215b96754cdb63d447bf

Observation 43bb5597-3f43-4138-a874-9f688c8e3bb6 · outbound

This paper cites Fcos: A simple and strong anchor-free object detector,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Fcos: A simple and strong anchor-free object detector,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:31.007185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.408670Z digest=sha256:9cd013293d4c0e52b92be8640d31eb74333b479753c5166c5cadfa9a6e250fb4

Observation 8b4816bd-d1c8-4915-a403-f83065b5cafe · outbound

This paper cites Faster R-CNN: Towards real- time object detection with region proposal networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Faster R-CNN: Towards real- time object detection with region proposal networks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.996492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.412181Z digest=sha256:ff1b455c2e95f6ef3387507b3f4acf33cde937cb9990bc302192400caa1cca47

Observation 1cf33a38-b6a8-466d-ac3b-cd906c9f09b7 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deformable detr: Deformable transformers for end-to-end object detection,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.415771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.415771Z digest=sha256:b0e7ca32048af9d36c0147ea88408f54e65815489beb1c92fc51a36f1a109ef6

Observation deaa3703-df1c-46bf-8180-74bbd2072ea8 · outbound

This paper cites Learning high-precision bounding box for rotated object detection via kullback-leibler divergence,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning high-precision bounding box for rotated object detection via kullback-leibler divergence,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.977742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.419954Z digest=sha256:cc6ba7be82ab3724b814dd8ac11d076ab690a4c9c078b73aafdaad793b7f6ba3

Observation 6af0ad4a-7543-4321-a4a6-7aa5fc1fa2ad · outbound

This paper cites The kfiou loss for rotated object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning The kfiou loss for rotated object detection,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.960762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.423771Z digest=sha256:a7dfb61a2b815bdd6eb4bc5a078f011459fbbd3e786c867cd786b99fd8c82ae8

Observation a11f3374-c082-4f7a-bb68-f7784ec97fc8 · outbound

This paper cites Gliding vertex on the horizontal bounding box for multi-oriented object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Gliding vertex on the horizontal bounding box for multi-oriented object detection,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.943811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.427146Z digest=sha256:dd360dff1ada29014b16951f512ec1cba6bf23d768aedaf30a4b84b28b3e3ce5

Observation ab201597-84ca-4f08-bf42-b28f8a13acd7 · outbound

This paper cites Beyond bounding- box: Convex-hull feature adaptation for oriented and densely packed object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Beyond bounding- box: Convex-hull feature adaptation for oriented and densely packed object detection,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.926509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.431573Z digest=sha256:64e1112d9bde0e4c8b0c59a9d2d3e7cad2c4cb995812c1e63e3cc7dc459a1167

Observation dd199e60-61d4-4e6b-9212-1817b182ed9f · outbound

This paper cites Redet: A rotation-equivariant detector for aerial object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Redet: A rotation-equivariant detector for aerial object detection,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.910226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.434554Z digest=sha256:f0ec9542d4565d9790fff132d0b9ac5a824fd7b89d806f67ce0eb2af89d5bf5c

Observation 4510535c-2d30-4edc-a10d-bb87e6b48213 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.898632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.438818Z digest=sha256:52b5f9e1cd936f096cbe94b1b0310f015d105b4129707a18c586a6ebc1f2cf22

Observation 43789b92-da81-4833-8548-d9c68c0f0bf8 · outbound

This paper cites Unbiased teacher for semi- supervised object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Unbiased teacher for semi- supervised object detection,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.886716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.443247Z digest=sha256:dbdfb8c7144d95664424cc5954e919bf2b538eff977335b9cc056766a579084d

Observation 89c37b9e-04fe-457d-bce5-f6f098575c76 · outbound

This paper cites End-to-end semi-supervised object detection with soft teacher,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning End-to-end semi-supervised object detection with soft teacher,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.874181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.447401Z digest=sha256:2e935d94778625c4cdbba1fdf5c2a49fe2aea3e64140b04762c5fd5b35193103

Observation 50e2b4c9-ccc9-4cb4-ae8e-cb222ef10ace · outbound

This paper cites Co-mining: Self-supervised learning for sparsely annotated object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Co-mining: Self-supervised learning for sparsely annotated object detection,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.861359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.451155Z digest=sha256:51a4f411ea290e66ca9b7272bc9fbe231121c7e6cf1831960377d6e4b6ebc955

Observation 250d8438-7fbf-4aad-9b0d-2d821b9e0128 · outbound

This paper cites AutoAssign: Differentiable Label Assignment for Dense Object Detection.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning AutoAssign: Differentiable Label Assignment for Dense Object Detection

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.456543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.456543Z digest=sha256:7276e41b5b431cf3ff15f1d175d8be6c22faeb6b34f48346a74fbe93ef5f6678

Observation 58e1e1c4-577f-44f3-9da3-3282c9e3e249 · outbound

This paper cites Sparse r-cnn: End-to-end object detection with learnable proposals,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Sparse r-cnn: End-to-end object detection with learnable proposals,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.849316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.460570Z digest=sha256:118bcad90e29f2aecd4ead960fca3c85397e70980c26b4430148e6e758979701

Observation 051c2fda-25f4-4026-96fe-491aeda18dc1 · outbound

This paper cites De- formable convolutional networks,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning De- formable convolutional networks,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.836752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.463694Z digest=sha256:952d375da146d8d37180eb6cbf602d90895ccdf8520cf8d02ae3727bb82ab634

Observation 9a4cd5e1-fa77-4d45-8eb6-78b220eb5743 · outbound

This paper cites End-to-end object detection with transformers,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning End-to-end object detection with transformers,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.825100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.466959Z digest=sha256:cc1ebbdca0d143cb39a7a9be1b033a3b33bb0949e707b22c43ff1726bdb8c681

Observation 178b1ce9-3cf2-49a6-a743-8e17347088d6 · outbound

This paper cites Rethink- ing rotated object detection with gaussian wasserstein distance loss,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Rethink- ing rotated object detection with gaussian wasserstein distance loss,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.812858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.470578Z digest=sha256:24fac0df341d65d42c028e210380e1b709e0201af7fdd438fbb8a3483a4b7e34

Observation 12c34145-e67f-48d1-bac7-aef6dfc53dd1 · outbound

This paper cites Objectbox: From centers to boxes for anchor-free object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Objectbox: From centers to boxes for anchor-free object detection,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.800570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.474018Z digest=sha256:060b0ac8dda19e8e2b2907b12b4d9b25364a47f94480e1af5624c8d684ec712b

Observation 0b521ec3-f045-4f42-bf08-2370505fc944 · outbound

This paper cites Feature selective anchor-free module for single-shot object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Feature selective anchor-free module for single-shot object detection,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.786510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.477749Z digest=sha256:5839d8f648f3f1a9e1b3abc5129ecd0efbeeefc5b6338fd6bc172da79738b908

Observation 68a0199f-c9bb-4be1-93f5-967b5a2b4dc6 · outbound

This paper cites A new metric for probability distributions,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning A new metric for probability distributions,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.773245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.481246Z digest=sha256:b8d18bb31ec1a014461fc61aee883877206663f6f2fda4a48e3aef9e9d481027

Observation 2c9e680f-1749-4d71-9154-f3525ffd3f7e · outbound

This paper cites On a generalization of the jensen–shannon divergence and the jensen–shannon centroid,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning On a generalization of the jensen–shannon divergence and the jensen–shannon centroid,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.761583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.484930Z digest=sha256:b3a112bb9785e9fe7128111ce399457fdf18aa990651729e74d4bb8b911d0b14

Observation 6f698b1b-bfd5-4f98-949a-e8131357da16 · outbound

This paper cites Learning center probability map for detecting objects in aerial images,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Learning center probability map for detecting objects in aerial images,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.739234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.488414Z digest=sha256:fa24f059c77ae41f486a180f0f21f602c2b70968326775f6954c0b7ffdc7bbd3

Observation ed756f3b-e111-4de7-9c16-46066730ac09 · outbound

This paper cites Dual-aligned oriented detector,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Dual-aligned oriented detector,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.728969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.491860Z digest=sha256:74cba7dd75bb1a373df953fdcafefd58163019ee2b18a03c0409a5ad038eb556

Observation 087882e5-2b0b-4679-91e7-77ab43ce2d71 · outbound

This paper cites Multi-oriented object detection in aerial images with double horizontal rectangles,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Multi-oriented object detection in aerial images with double horizontal rectangles,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.718035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.495297Z digest=sha256:840146efd4df9ce76866f7f75a7832bd43f6c9e905f7e4b9bd0a6d9533fe479e

Observation f34b7dbb-6672-4d3b-b602-f51b2193e070 · outbound

This paper cites Mask R-CNN,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Mask R-CNN,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.707258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.499039Z digest=sha256:21bcdbee3d553734a6f6894a23ab2669064935321fcb433eebd8bfb3f6a5f3de

Observation be16e227-1943-455d-bc96-eb295135ccc9 · outbound

This paper cites Hybrid task cascade for instance segmentation,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Hybrid task cascade for instance segmentation,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.697067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.502953Z digest=sha256:b8a794be0186c09a40353ce4c23c5d75f103829296bd140e5eb2975cffd38869

Observation e00cdc41-62ff-4e2f-af52-9f797730d965 · outbound

This paper cites Mmrotate: A rotated object detection benchmark using pytorch,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Mmrotate: A rotated object detection benchmark using pytorch,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.686561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.514128Z digest=sha256:64a1e9c3bd481a127aea315d856c188c0d297b3d3ce3cfca2a90c4f0d3792ca6

Observation 4876c025-a7ad-418e-97b4-5f691bff307f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Pytorch: An imperative style, high-performance deep learning library,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.675024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.517577Z digest=sha256:afd172987974998fb9ce0e577da943a7ae6df7122e43505ec8e99f5073cf0311

Observation 3fa8d709-6672-4acc-aacb-71ed4e98164a · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Imagenet large scale visual recognition challenge,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.521226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.521226Z digest=sha256:cd4f7538d7159ef47ffdada8f2e9e6e7ec767dfdbd4411aa7c6c1794a8c3a5c9

Observation 7b1faeed-a075-4564-b297-ff4bf02243d8 · outbound

This paper cites Deep residual learning for image recognition,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deep residual learning for image recognition,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.524698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.524698Z digest=sha256:74ac01529018424141a5de1a277578393c90601d47b12e3acc7248299f734f2a

Observation 30211c34-d6b4-4618-86df-ebba49b109f3 · outbound

This paper cites Feature pyramid networks for object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Feature pyramid networks for object detection,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.652990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.528389Z digest=sha256:de39884d15a3cab87fc4c10dc746f9465896cee411b22268024f48ea475bae1f

Observation a32afb68-19d4-4136-a764-93b14ddd1b81 · outbound

This paper cites FCOS: Fully convolutional one- stage object detection,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning FCOS: Fully convolutional one- stage object detection,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.642896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.531822Z digest=sha256:7547ba02cff4cc8a8edc12acd12c82ef9bd1e173b19e79f652eef814430a2e18

Observation adc4bb9d-16d3-466b-93ac-50208821fecc · outbound

This paper cites Deformable convnets v2: More deformable, better results,.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning Deformable convnets v2: More deformable, better results,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:54:30.632511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:54:30.535259Z digest=sha256:fe51a34155e4beb02628d1350e7f2de745b238044cb54bcfba4074e3541035c7

Observation caeca492-f0b1-4caa-9ce8-bbfaccbd8f0b · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T14:54:30.510596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:54:30.510596Z digest=sha256:bca29b16f0e656b65bca0bfa48195228faceb29039c8d34c68296d035198f633

Pith citing papers

No inbound Pith citation observations are available.