Pith. sign in

Paper Citation Record · LEDGER

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection

As of 9 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 1 inbound Pith citation observation for arXiv:2505.21868.

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

pith.paper-citation-record.v1
2505.21868 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:05.840078Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:05:11.464538Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:05:13.465208Z

Reference resolution

77 of 77 outbound references displayed

  • verified exact1
  • verified fuzzy53
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4944cc5f-aea2-44e5-a2f2-e7061cdb0e09 · outbound

This paper cites A full data augmentation pipeline for small object detection based on generative adversarial networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A full data augmentation pipeline for small object detection based on generative adversarial networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:19.474303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.279951Z digest=sha256:8480874bf56e3724978655d63c4a35e6201a69bf51f69c6d061b3e4207c21af2

Observation afb68c42-8dbd-4db6-96e1-7dd22111af0e · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:19.233616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.336063Z digest=sha256:d3522010edfbb0cb4d496d04561a2a453d9a03152aff91b72583a1900831f9e5

Observation ec11c3d1-c617-4b14-ac7a-8d4760b3826f · outbound

This paper cites Visible and clear: Finding tiny objects in difference map.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Visible and clear: Finding tiny objects in difference map

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:19.038933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.366759Z digest=sha256:37cbe773f4eb581a043b86c87e6b6f568cc9a124af0ff7b9b15dbcf1771906e2

Observation 463f7eab-ca82-4e01-81fd-4e503d9c85a3 · outbound

This paper cites Mlp-dino: Category modeling and query graphing with deep mlp for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Mlp-dino: Category modeling and query graphing with deep mlp for object detection

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:18.880275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.432424Z digest=sha256:1a224f5280d5a7bbe44aef04e14784029c05a56d78c06390ec240ebc9b16cb32

Observation 8f0180ab-935a-4539-a1da-ba66a66f7648 · outbound

This paper cites Strip-mlp: Efficient token interaction for vision mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Strip-mlp: Efficient token interaction for vision mlp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:18.735238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.511398Z digest=sha256:f3716298c23ee4487b2a2bfcb8b9df70bb013b8d7faedc8f33eb326fcd7934b7

Observation bd3e59e4-9cfe-48d9-a77c-5420876d4a52 · outbound

This paper cites Cf-detr: Coarse-to- fine transformers for end-to-end object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cf-detr: Coarse-to- fine transformers for end-to-end object detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:18.493057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.553507Z digest=sha256:e24ed12ee26e42680b619a84e1bd68d8fbde2850bacf8f82e03cd68152bba49b

Observation 0ecdf736-e652-4a6e-b9b5-ccc508a6a151 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection End-to-end object detection with transformers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:58.649265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:58.649265Z digest=sha256:4f5f906600984ef7aee9e9df7942967f12d3e74a48727c65107c4e8f3398a0b0

Observation 2666daca-e839-4dd5-8e10-14a4d5ca518d · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Crossvit: Cross-attention multi-scale vision transformer for image classification

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:58.772354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:58.772354Z digest=sha256:57a5fb9c5cfb9c2fdf737a1aeb4f74b4d43ede3831852b9b98bb40d4684b16fc

Observation ed553674-038e-467f-b9fc-93cfe65af29f · outbound

This paper cites Diffusiondet: Diffusion model for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Diffusiondet: Diffusion model for object detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:18.233277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.842961Z digest=sha256:3d8d0c30dfc11010ce30c96a347ad9ed0d7b02d9608692ea53a9b4a02a4ee6d5

Observation 86ef30cb-55ee-422b-bde1-2ebf27482004 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Towards large-scale small object detection: Survey and benchmarks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:18.030822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.895762Z digest=sha256:29d9036c67a9a6de867b9c09cf1cb47f0ec0be06bcb605dbb94ad8a948379b4d

Observation 2ce8076c-f1ad-4346-89b5-1356bc4eb03f · outbound

This paper cites Dynamic head: Unifying object detection heads with attentions.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dynamic head: Unifying object detection heads with attentions

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:17.842571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:58.955162Z digest=sha256:1235fcc0a7bf838298b41c5d1e70fa0e650b9c06f57785e99eeb1a8d2570314f

Observation c3e44e5a-0232-42fe-944e-e1199ad4daf6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Imagenet: A large-scale hierarchical image database

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.026776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.026776Z digest=sha256:f0e9dddc4a2ff46692c9fb60000b178ab21f5bd2262fc4e3535365c08115b68e

Observation 17ce5735-f465-4841-a9e4-791aef58f6fa · outbound

This paper cites Pedes- trian detection: An evaluation of the state of the art.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Pedes- trian detection: An evaluation of the state of the art

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:17.627036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.124745Z digest=sha256:3c41017d315841b1e4b1083a07e5dde44ffc436392007805d3eb46e15fcda06d

Observation 35ffc6d2-3518-44a8-b9ee-a47b80f2bf3c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.264408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.264408Z digest=sha256:27430c32774dac46d7eb0da32812ef49432aa6b94e02b96348f9876536c46ebc

Observation 46d2306b-8858-4d4a-9bd6-ab17cb76fa0d · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Centernet: Keypoint triplets for object detection

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:17.316462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.356532Z digest=sha256:76883c32da995b9abd41b01e6f700251bb094e2f4609845c7a87ee1a0086ddcc

Observation 9e4edb4e-b14b-4dcf-95fe-83b2146ccdc3 · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection DSSD : Deconvolutional Single Shot Detector

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.407941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.407941Z digest=sha256:981135c494ff82fcf62c36b56a373fed3759c347a899b955318e6966817f19e7

Observation dc512dc9-c16e-4989-b7e3-901a0b57f1cf · outbound

This paper cites Ps-rcnn: Detecting secondary human instances in a crowd via primary object suppression.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Ps-rcnn: Detecting secondary human instances in a crowd via primary object suppression

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:17.115030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.456086Z digest=sha256:73cc03ff722567aef6d5c44d742c9c714bca19190c24db27e68bc1a6cdc922c7

Observation f5a01355-036e-4aed-b728-9bb27e2fde2e · outbound

This paper cites Save the tiny, save the all: hierarchical activation network for tiny object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Save the tiny, save the all: hierarchical activation network for tiny object detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:16.800353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.534745Z digest=sha256:de365e938e01ade63d762cfc2557d22332bd6c93531768aaf64159ff5e6f340e

Observation 68c74434-36e4-4171-8901-1e4adeb433d1 · outbound

This paper cites Mask r-cnn.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Mask r-cnn

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:16.548936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.574106Z digest=sha256:d2b422e4dabcef1fa7f101e8384560fd0e3037da206ef40d2ee44af3af177119

Observation 86eb835b-e8f0-4579-b9f3-762392ebed1e · outbound

This paper cites Deep residual learning for image recognition.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Deep residual learning for image recognition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.694550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.694550Z digest=sha256:b9c77388ace88544bbff326252fb0952b68fa3617fe05507c4c3649573df94c3

Observation a4cacb05-065f-4835-951e-f836fd18e0bb · outbound

This paper cites Multi- scale feature balance enhancement network for pedestrian detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi- scale feature balance enhancement network for pedestrian detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:16.345005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:25:59.775670Z digest=sha256:b47f03c64ef09a0e9b83196cd973e56b9639c8fa3fcb20949ef6b6414ffd87e9

Observation 0c0ac9f7-3286-401b-bbea-d6d3b00d57e0 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Gaussian Error Linear Units (GELUs)

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.906562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.906562Z digest=sha256:02c43bef11963a29f95c0c992354a3500046beadf6f1099ec28a37eb3bd52f27

Observation ea05ccca-44de-4828-a521-c9a391f01309 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:59.983066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:59.983066Z digest=sha256:58fd23e0e3d69f7a631e793b3e3b990fa894e865c3e8bea90dcf7200db4a876a

Observation a121ffc5-70f6-494a-a1b8-4ea654c6fbb7 · outbound

This paper cites Dq-detr: Detr with dynamic query for tiny object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dq-detr: Detr with dynamic query for tiny object detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:16.144449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.038393Z digest=sha256:146aaafd1522cfb12aad4dc4f8aee944cb33a1007ea82435f0da66953ed208e1

Observation 4de1dd05-adb2-4b73-87fe-d53605f0d79a · outbound

This paper cites Detrs with hybrid matching.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detrs with hybrid matching

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:00.171622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:00.171622Z digest=sha256:d27c8437be5c3db10ec5349afe353452eb4979d18cbe5b23eea573f5e41a1c71

Observation 02611a4c-c51c-4a96-a219-f699706d37e0 · outbound

This paper cites Augmentation for small object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Augmentation for small object detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:00.311383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:00.311383Z digest=sha256:70d36b57192c478ffc216368f6d6050aca0f7feb1aee175c1df4bbe3c8262625

Observation 8e476865-0297-4efa-831c-80f9314f636b · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cornernet: Detecting objects as paired keypoints

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:15.885046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.433558Z digest=sha256:19bd45f16c3afd82da9d8bc6fca50a4bcb786c22ba14307c0bee549d766a219b

Observation dd6d6cb7-6c64-41d7-9878-a0fc0d759614 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dn-detr: Accelerate detr training by introducing query denoising

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:15.620996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.513087Z digest=sha256:831c310a071fb936c895176dcf4f1ebe4ef710480274b2822b655f6105edd9cd

Observation e9ee44e1-b4b8-4cf0-9adb-1dd40cd6d95d · outbound

This paper cites Focal loss for dense object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Focal loss for dense object detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:15.425305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.558550Z digest=sha256:ba21a02e8975f2affecdbd980b60b870373a53c3e7dff1cafa75c588b54e8bfd

Observation 33b1f5fd-1430-447a-8b60-761ff4365664 · outbound

This paper cites Microsoft coco: Common objects in context.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Microsoft coco: Common objects in context

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:15.260871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.681928Z digest=sha256:5959853ad2d5bb750f63f0e65dee8721fcf3a37674d2f1e7dea4d32b6d0e50c7

Observation 086066d8-e4ba-4dcf-84ef-7cf62d3bf65d · outbound

This paper cites Are we ready for a new paradigm shift? a survey on visual deep mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Are we ready for a new paradigm shift? a survey on visual deep mlp

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:15.114493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.781367Z digest=sha256:b5e0c93d57c925d99bad6ac3ea3fd95da7e80bd138e0ee020905aa3a5ef6e5ff

Observation 3507ce27-0489-4fed-a95a-d0c7a5a0b63e · outbound

This paper cites Dab-detr: Dynamic anchor boxes are better queries for detr.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dab-detr: Dynamic anchor boxes are better queries for detr

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:14.934573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:00.871812Z digest=sha256:fe5acf8169eb87155c4a29f6810ce55e6a93a52e6a17af734386b8f3d19cf474

Observation b1049426-0c5f-47bd-b0e9-dbc22467f5b5 · outbound

This paper cites Detection transformer with stable matching.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detection transformer with stable matching

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:14.732272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:01.011227Z digest=sha256:bd890661e2ce27db2963c912b5589effc46bd52f176b3c750b71498a263fa36e

Observation 0a05d65b-5c04-4afd-b57d-5338add1622f · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:01.112722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:01.112722Z digest=sha256:c438206bdfe6c116db6386d3347da7a00a663a5f33d61aa6b2312afe16295d98

Observation 5a275860-c211-43e2-85eb-4159c85a3440 · outbound

This paper cites Ssd: Single shot multibox detector.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Ssd: Single shot multibox detector

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:14.562258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:01.203177Z digest=sha256:a4ddfd7cf36c34288c4e08efd830ca2808f2f48b1ef126c4a590677dd5939748

Observation 4cd54a29-b5ba-4914-a0e9-654b531ac21d · outbound

This paper cites A survey and performance evaluation of deep learning methods for small object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A survey and performance evaluation of deep learning methods for small object detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:01.430602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:01.430602Z digest=sha256:897de182e2726583103930b8f50ce4c9dc8de4f154274a5cd94acf0f05be2c9a

Observation 6fd72fcb-0d62-4855-b064-774681d03f52 · outbound

This paper cites VMamba: Visual State Space Model.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection VMamba: Visual State Space Model

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:01.814883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:01.814883Z digest=sha256:5d19e307819dd132c056703edf9e8049c2d5dd039e3a278a360e28ca309db1ea

Observation 8b5c8e19-40d7-445a-9120-bb19b36ad221 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:02.338021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:02.338021Z digest=sha256:26d863813e61a3479f7caa84e635c6957e45295861986a8ad802564215cd0de4

Observation 437a5d7f-c73a-46ad-89fd-3903dac566a6 · outbound

This paper cites A convnet for the 2020s.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A convnet for the 2020s

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:03.203941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:03.203941Z digest=sha256:b8958f4605a4b3ee99c44bd94718f40351d53927cb098dd8f6d3bb315052b7a2

Observation 80240d3b-aa59-49c9-9965-35ccf7c41b08 · outbound

This paper cites Decoupled weight decay regulariza- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Decoupled weight decay regulariza- tion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:14.288668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.639813Z digest=sha256:daf3f9f2d4a09e4c365645d2aecf3a4c6c4a6183964bf75bc86fae6914d54471

Observation 1c529d96-ea41-4ab4-9647-f8646bc8933a · outbound

This paper cites Understand- ing the effective receptive field in deep convolutional neural networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Understand- ing the effective receptive field in deep convolutional neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:14.083722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.787755Z digest=sha256:8308d9c683daaa669fd64c8cd1d564b1b329dcb0ece9319f673b341fc6f403f3

Observation 1812a81c-f541-4dc2-a12a-648fade0f156 · outbound

This paper cites Cascade transformer decoder based occluded pedestrian detection with dynamic deformable convolution and gaussian projection channel atten- tion mechanism.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cascade transformer decoder based occluded pedestrian detection with dynamic deformable convolution and gaussian projection channel atten- tion mechanism

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:13.919359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.828773Z digest=sha256:99794c3bbf09d5ab715a26146a9c0a792cb24f96da3d6895654bfa8587500f1b

Observation 6da744e7-62e5-41ba-8607-de69b1e8f1e9 · outbound

This paper cites Conditional detr for fast training convergence.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Conditional detr for fast training convergence

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:13.733210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.866886Z digest=sha256:661de3abdd4acc7039361dcda7682c6f38615c7ba8cccebfb253dd54dbc2f1cd

Observation 55cb8c0c-9f73-47c5-a4ef-08363df3c081 · outbound

This paper cites Efficient featurized image pyramid network for single shot detector.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Efficient featurized image pyramid network for single shot detector

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:13.537337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.903810Z digest=sha256:56f30bbaca4af20d10f4b50a59bbb9f2637d127dbe1be77fb4116ea5c6e95fea

Observation 1d753599-2195-4c76-a4ef-70b9bb671d7a · outbound

This paper cites Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolu- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolu- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:13.301575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:03.936828Z digest=sha256:285b186773e1a442baa1edf19f7ba942bc06acb6c333f1d9d81322cfe1839f5c

Observation 6934ca78-66e3-4c25-822d-94f454801c33 · outbound

This paper cites You only look once: Unified, real-time object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection You only look once: Unified, real-time object detection

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:03.984819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:03.984819Z digest=sha256:120d28b2e96a2e1c04a222f95b208e7d767f324d322c0ad95b88fcec53e05bf7

Observation d14a67f2-a017-43f6-8009-6c81586251a3 · outbound

This paper cites Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.069573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.069573Z digest=sha256:9bb9e44d233b3eb88b470fa77cbc0c60ed00dd6623043f68b79ab13fd3148a84

Observation a03abf9c-5c8f-496d-9628-a690c13cddb6 · outbound

This paper cites Faster r- cnn: Towards real-time object detection with region proposal networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Faster r- cnn: Towards real-time object detection with region proposal networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.129175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.129175Z digest=sha256:6ef95ed78e7f97f12d65c2e71e8f4224c59154657971c495c0c0753d68ce717f

Observation e373f82e-4947-44b4-b896-dcf6318875be · outbound

This paper cites detrex: Benchmarking Detection Transformers.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection detrex: Benchmarking Detection Transformers

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.195233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.195233Z digest=sha256:1ec59ee4d27c64cf16ddf6e0e917c6af4aca7b070bb52d62dd72afb94d85bf44

Observation b1a21bf5-5733-446e-8beb-06e5d66b5ae8 · outbound

This paper cites Sparse detr: Efficient end-to-end object detection with learnable sparsity.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sparse detr: Efficient end-to-end object detection with learnable sparsity

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:13.110984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.230096Z digest=sha256:7dbd6a94dec7004fdf548bc924ff90cf84079852d0311fd09e239775a03e0de2

Observation 54fb2398-b496-471c-a8e6-fa542e544839 · outbound

This paper cites Iterdet: iterative scheme for object detection in crowded environments.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Iterdet: iterative scheme for object detection in crowded environments

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:12.949720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.283065Z digest=sha256:2db00e7d1830796336954946affdafe221f5fb764cffe1edafea795e52e81022

Observation 1da4d559-0da8-4d4a-90f0-381bb556ee85 · outbound

This paper cites Object detection in medical images based on hierarchical transformer and mask mechanism.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Object detection in medical images based on hierarchical transformer and mask mechanism

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:12.701262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.345012Z digest=sha256:d0867b3d938dabad257135a00c3291e4df9e8b91532b2ba9982848754d262cd7

Observation e027b9e3-aa44-4c08-b81f-dab544fa4b75 · outbound

This paper cites Sniper: Efficient multi- scale training.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sniper: Efficient multi- scale training

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:12.546162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.384019Z digest=sha256:75511cc16efe866412a40383289040e8963fb975c3ad1d70c808a57c9ae03b9b

Observation 2592fe78-bc51-4128-8d32-4e8cfe05ca22 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sparse r-cnn: End-to-end object detection with learnable proposals

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:12.287431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.424288Z digest=sha256:e887ac3d6ba3bf13ea4d2c6f96672d1d5b7c92c83c730081beb1ee1981434fd9

Observation b9fa168d-3535-4bb1-9d58-1b2f9854a9f1 · outbound

This paper cites An image patch is a wave: Phase-aware vision mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection An image patch is a wave: Phase-aware vision mlp

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:12.058060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.476765Z digest=sha256:b6ff8d3192f50faaca17a3ce60edc1a5ac9c0ea607b97b6790a5a1ec5375dcbd

Observation 6a5c8f70-f831-46dc-a0ab-90f8083db2f9 · outbound

This paper cites Multi- scale sampling attention graph convolutional networks for skeleton- based action recognition.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi- scale sampling attention graph convolutional networks for skeleton- based action recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:11.859449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.532259Z digest=sha256:a538f084b597dfdd1d55070c3545085930a427ec6ca688416d3552c72f9355e6

Observation 03a68a71-b5f3-43cf-a743-4491c0293806 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Training data-efficient image transformers & distillation through attention

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:11.619025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.580178Z digest=sha256:df2b2b2738453c4374189cc122be89ad6671757b0dabb317e1e7b3b8b38b7be7

Observation a739471f-86f6-4a93-af30-c600cdc09541 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:11.406730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.616323Z digest=sha256:7cb139cac444e402119af8f8b424374f43daba7b7983cbac4c5be549ea9b96ce

Observation 70dcdd5b-4b2e-490a-8489-7df632edcbd4 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.651499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.651499Z digest=sha256:666ce6e334e5b722b3e986ac0dfdfb10927565ae91ef2e896a45cd53031e3afd

Observation a026be6d-94dc-4125-af47-c25cf17328a1 · outbound

This paper cites Tiny object detection in aerial images.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Tiny object detection in aerial images

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:11.175060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.688014Z digest=sha256:dab1deaa2791d9e985b9201bfeea10d6f3208a751fc84df40d38a934cefa4b77

Observation 83cfd4e5-3bb3-4c55-b942-e34189b4e7fe · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:11.016269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.723563Z digest=sha256:863bb9ba21244336eb17794395833c5c9c54b28c51511f837ab46d0a5afc4ce6

Observation c077c8f6-6a96-449f-a22a-7e52a509dc6a · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Rfla: Gaussian receptive field based label assignment for tiny object detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:10.826582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.795005Z digest=sha256:ab62acc51d88116fddc8402d13886dee7e3c65de6ae27ab1af74746d8d61a386

Observation b682cd6a-027c-43ae-b2b2-2c58aeab0058 · outbound

This paper cites Querydet: Cas- caded sparse query for accelerating high-resolution small object detec- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Querydet: Cas- caded sparse query for accelerating high-resolution small object detec- tion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:10.645076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.851864Z digest=sha256:6116bade77017ba7250e71562e65a90a36dc557fa1018bd5083f033100d7386a

Observation f5420837-1b0e-4410-b8ee-b95490b72f73 · outbound

This paper cites Rep- points: Point set representation for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Rep- points: Point set representation for object detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:10.519782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:04.916714Z digest=sha256:41dcc3fab7f2e73f7b2ec24cc64a7e45bec22209981afe18da599573c68bfb62

Observation f23a2718-9c88-4dec-932c-fc8d30e0d5e4 · outbound

This paper cites Efficient DETR: Improving End-to-End Object Detector with Dense Prior.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Efficient DETR: Improving End-to-End Object Detector with Dense Prior

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:04.971142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:04.971142Z digest=sha256:adc65a500380ded59de579e9be579700acc4a7fd24bd0ad4f1ca9de753051c99

Observation bcb663a8-45b4-4076-83b3-460cb1be6427 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi-Scale Context Aggregation by Dilated Convolutions

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:05.022159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:05.022159Z digest=sha256:fd98cb09860be6722ee33e4fde4b2c2f8a6d63de22f30658f2aa6cbf08e786c1

Observation daf592d1-90ff-4951-8526-efe3128a6d3f · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Small object detection via coarse-to-fine proposal generation and imitation learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:10.334094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.055445Z digest=sha256:7249677f5bb27f984693a5c519f5fd0b8e822c61c9b05c3f255eb96a65bab5af

Observation 12e1cd18-a413-401d-a41a-d012c359ba2f · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dino: Detr with improved denoising anchor boxes for end-to-end object detection

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:10.208475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.136239Z digest=sha256:734cfef6a1a974dde24b37a36b857de295cc4d1a6595cadf6d6a089eb60a50f7

Observation f5c91ad2-0ba6-42f9-8b73-04da5fe70378 · outbound

This paper cites Single-shot refinement neural network for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Single-shot refinement neural network for object detection

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:09.984971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.202543Z digest=sha256:e33b32f5d3c7e90885cde4f2b8a183787b07dfd8324d0188042f40f9f51d2433

Observation dece96cf-6bf6-4ef5-92e0-c3a505b4e053 · outbound

This paper cites Widerperson: A diverse dataset for dense pedestrian detection in the wild.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Widerperson: A diverse dataset for dense pedestrian detection in the wild

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:08.242210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.275479Z digest=sha256:36737541b536ccbd836e3fb4f180342c23a9639479b4673f92097d584dac158c

Observation 65a69d4e-1953-4583-b41f-94c6ac9362f8 · outbound

This paper cites Less is more: Focus attention for efficient detr.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Less is more: Focus attention for efficient detr

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:07.416452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.347262Z digest=sha256:6ca43fb45b6506681f5153f0f25eb3d7eb68b3b0e15cd672740b3f70c1edb57e

Observation e3fa4d08-8387-4a23-9434-4d67c5e81ba2 · outbound

This paper cites Learning deep features for discriminative localization.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Learning deep features for discriminative localization

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:05.481510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:26:05.481510Z digest=sha256:6889b7500d1aa8ea240881a3f956038bc43f72c7fa244a9e1ddabb379d85cd48

Observation ed6e1b0c-2a58-4a97-aa82-a236d1653f2b · outbound

This paper cites Detection and tracking meet drones challenge.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detection and tracking meet drones challenge

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:07.041014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.527472Z digest=sha256:3313f4da57885a224f169dd381302617f72deadf9c08b6ed0367d3379b984433

Observation 218e5c74-0614-459d-a91c-5b8a46d511b6 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Deformable detr: Deformable transformers for end-to-end object detection

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:06.840035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.651356Z digest=sha256:dfeca1d490b306aeb8440cafad3c847e1e59a9aa5c8c5e96d7643b5577a9835c

Observation 932f4263-0505-429c-862c-264743c245eb · outbound

This paper cites Detrs with collaborative hy- brid assignments training.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detrs with collaborative hy- brid assignments training

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:06.587958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.716667Z digest=sha256:e0079de16c4a8db3088c8b3d2013e933de530265a1ffcf3ad38a5ceacbb9b9bd

Observation 368e4b99-2cfe-4038-85dc-9acaba3f565f · outbound

This paper cites Learning data augmentation strategies for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Learning data augmentation strategies for object detection

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:26:06.454813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.765929Z digest=sha256:53231e7e5e637b57cfe812429d0000251fbc680f3f8aca5edcd451d47cce0249

Observation 433986bd-0465-464b-bb5c-9c726e85ec33 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Object detection in 20 years: A survey

Reference 77

Resolution
verified exact
raw_fallback, observed 2026-08-07T13:26:06.071587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:26:05.840078Z digest=sha256:3948a7b3db3950b50b2aa8ee3404adcc6e7359f452c9419c3e2ad6e752b42ef9

Pith citing papers

Observation f32838b5-3997-45a6-9cd8-1aaedd938515 · inbound

DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection cites this paper.

DS-Det: Single-Query Paradigm and Attention Disentangled Learning for Flexible Object Detection Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:05:13.512383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T14:05:11.464538Z digest=sha256:1bf5829f5542ec9e77ebfa843c4a7f2759ff0350f78df501b871e2bffe0f2eec