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Paper Citation Record · LEDGER

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.16254.

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

pith.paper-citation-record.v1
2507.16254 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:18:09.953391Z

measured 57 of 57 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:08:04.399168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T12:51:23.704420Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 537e75a0-2328-4897-84ce-9c3e98c1b9fb · outbound

This paper cites Slicing aided hyper inference and fine-tuning for small object detection.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Slicing aided hyper inference and fine-tuning for small object detection

Reference 1

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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.

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Observation f535f060-2a96-4d5e-9c19-02ad4f0d3629 · outbound

This paper cites Synthetic Data from Diffusion Models Improves ImageNet Classification.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Synthetic Data from Diffusion Models Improves ImageNet Classification

Reference 2

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Observation 59a4a931-899a-417a-b185-fc4ebe49e880 · outbound

This paper cites Rain removal in traffic surveillance: Does it matter? IEEE Transactions on Intelligent Transportation Systems, 20(8):2802–2819, 2018.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Rain removal in traffic surveillance: Does it matter? IEEE Transactions on Intelligent Transportation Systems, 20(8):2802–2819, 2018

Reference 3

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

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Observation ebcddd61-bebb-42d8-a13b-afae15e2122a · outbound

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

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective End-to- end object detection with transformers

Reference 4

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source=pdf_text observed=2026-08-06T15:18:05.939312Z digest=sha256:99680f2fd0422081d35807c62925f80892d2996e4e9aee0189e2a228684c9c43

Observation a4a78754-8091-4075-8924-d3d0154af839 · outbound

This paper cites GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation

Reference 5

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source=pdf_text observed=2026-08-06T15:18:06.011451Z digest=sha256:97c85b64eb88876e9792e8849a4eed7841be638896162c71305e02d0ec878dbe

Observation af7351d6-2307-45ad-94a2-195c8401c7ad · outbound

This paper cites Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Reference 6

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source=pdf_text observed=2026-08-06T15:18:06.126143Z digest=sha256:f2f35f89dd4c3a3adb55a8dc1c620d75b484a3dde2379c3a18b4bc8c4d920dc2

Observation 6f59fb92-15be-47e2-b95f-06d757c6048e · outbound

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

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Imagenet: A large-scale hierarchical image database

Reference 7

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source=pdf_text observed=2026-08-06T15:18:06.197508Z digest=sha256:c83f680d8fb3a5407832bfdffc3d25c7d09714a688c4c720a86629b6f66ba746

Observation e6ff9746-8277-4418-a4f8-936b7b25daab · outbound

This paper cites The unmanned aerial vehicle benchmark: Object detection and tracking.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective The unmanned aerial vehicle benchmark: Object detection and tracking

Reference 8

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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.

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Observation 8fc5bf0c-8312-443e-a2b1-b4b7ff291c9f · outbound

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

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Visdrone-det2019: The vision meets drone ob- ject detection in image challenge results

Reference 9

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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=2026-08-06T15:18:06.360211Z digest=sha256:2b295d116bfa0f1a950ee4ed4d32b93f0cb887cb898a8f9017979e8ef7ff7d05

Observation ff9d5e05-f26a-4319-9c3f-b5cc0aac3605 · outbound

This paper cites Robust data augmen- tation and ensemble method for object detection in fisheye camera images.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Robust data augmen- tation and ensemble method for object detection in fisheye camera images

Reference 10

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

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Observation 85e1a9f5-259e-4620-a866-e018f1dde307 · outbound

This paper cites Sim- ple copy-paste is a strong data augmentation method for in- stance segmentation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Sim- ple copy-paste is a strong data augmentation method for in- stance segmentation

Reference 11

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

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Observation 4e16fd1e-0511-4e10-bff1-07e3d00632d8 · outbound

This paper cites Fast r-cnn.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Fast r-cnn

Reference 12

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Observation 57c9084a-968b-4962-a2c0-cc1a6956dab3 · outbound

This paper cites Fisheye8k: A benchmark and dataset for fisheye camera object detection.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Fisheye8k: A benchmark and dataset for fisheye camera object detection

Reference 13

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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.

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Observation b573f621-05f3-47c2-ace2-655eb5a8c9d2 · outbound

This paper cites Is synthetic data from generative models ready for image recognition?.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Is synthetic data from generative models ready for image recognition?

Reference 14

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source=pdf_text observed=2026-08-06T15:18:06.780393Z digest=sha256:1ce797c3777c969f06be4a945948b589d0f2a317daa52f8b9668c0b496153000

Observation e7b27fb1-bbfe-44f5-8acf-dc1e9c9bd347 · outbound

This paper cites Ultralytics yolo11, 2024.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Ultralytics yolo11, 2024

Reference 15

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source=pdf_text observed=2026-08-06T15:18:06.855691Z digest=sha256:167b1b6b4f9e8f7855e197a50d29ac0825db3d728e97807d6f1727dfbeff92d0

Observation ad84ed8a-1f6a-403b-98d2-3fc5508fbba4 · outbound

This paper cites Ultralytics YOLO, 2023.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Ultralytics YOLO, 2023

Reference 16

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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=2026-08-06T15:18:06.941629Z digest=sha256:6771f4255c65b9addc51bc6d8114d14958b955c9b1c6b679383f7fad28932b0e

Observation b26970de-b06c-412d-87e9-b85d0f34b7cd · outbound

This paper cites an unresolved cited work.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Unresolved cited work

Reference 17

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

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Observation 00a0eca7-bffc-4f83-9027-8ac55168daa4 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Gligen: Open-set grounded text-to-image generation

Reference 18

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source=pdf_text observed=2026-08-06T15:18:07.118271Z digest=sha256:0357f90c60e3f517c441110aca9dff09691f81a70f8a388e599ca19d3b231f96

Observation 01c62fb8-f815-43dc-b588-2f7764e61c69 · outbound

This paper cites Microsoft coco: Common objects in context.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Microsoft coco: Common objects in context

Reference 19

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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=2026-08-06T15:18:07.223397Z digest=sha256:bb3e918afad8fd76be16e4e43411af5e0bd7bd52a0b152dd7855dea75a8b99f1

Observation 14b94772-dd7f-4ce4-8ce3-7dcf8dc95bfd · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 20

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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.

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Observation b8c2b4b0-c829-4aad-9a72-905cf6d7ddea · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 21

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source=pdf_text observed=2026-08-06T15:18:07.424734Z digest=sha256:07ce18bd5166449e5823798a7dd631dd68ed672f48f15ae027fe46cf00bf8420

Observation 28c68384-db9a-4a10-b9bb-44e3d6f5343e · outbound

This paper cites Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Reference 22

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

source=pdf_text observed=2026-08-06T15:18:07.488780Z digest=sha256:8df58b4e64ef208b11a3dbedff0557698ad31342a9ccc5aa67b086be964db7f9

Observation 1f21dabc-18c9-48d7-ab4f-e2c58dc4792c · outbound

This paper cites Gpt-4.1, 2024.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Gpt-4.1, 2024

Reference 23

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

source=pdf_text observed=2026-08-06T15:18:07.557129Z digest=sha256:4a51cea0fc3f9cb3aa92a01e6d68b39139902f1f46efc10161a394895def1d89

Observation d16382af-f5e7-4ce1-8e62-f46860cdb39b · outbound

This paper cites D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement

Reference 24

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source=pdf_text observed=2026-08-06T15:18:07.613301Z digest=sha256:eaa6d7e42195f546d8d695640fb7fcdac31c5a747d9b2d284d11507d9935995d

Observation 4aa5875b-ff0d-45e0-a510-4e24e30261e9 · outbound

This paper cites Improving object detection to fisheye cameras with open-vocabulary pseudo- label approach.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Improving object detection to fisheye cameras with open-vocabulary pseudo- label approach

Reference 25

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

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Observation f0225bd9-0900-4854-b047-b0d3be055549 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective SAM 2: Segment Anything in Images and Videos

Reference 26

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source=pdf_text observed=2026-08-06T15:18:07.723930Z digest=sha256:7bc34f9b78f090ee106dbc4a7bb90f9b5c05aa9b79f19eab203fee6f9bf516a4

Observation b8edeec9-423d-4374-a861-d38ef2b1eadc · outbound

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

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective You only look once: Unified, real-time object de- tection

Reference 27

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source=pdf_text observed=2026-08-06T15:18:07.834930Z digest=sha256:d5978538f4d3c390cbe23dc5709577c48a97e7cd51421c5300176113805c4d1a

Observation 660aaf07-0eeb-4749-b7d6-da4c99a289f2 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective High-resolution image synthesis with latent diffusion models

Reference 28

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source=pdf_text observed=2026-08-06T15:18:07.907164Z digest=sha256:55ae2929f0f65850b8d485d5346c6972f7f658999ef06b1443055defde841319

Observation c4fdacbf-ea5f-488b-ac12-2e3297172e2c · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Photorealistic text-to-image diffusion models with deep language understanding

Reference 29

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source=pdf_text observed=2026-08-06T15:18:07.981866Z digest=sha256:f2d8bfa72ede6dbdc5c3ad9db61e9ea20cdb50d6ff160a59c96c4ed1e1cc2e4d

Observation 2c277bb3-e219-449a-acc6-d27d77e534f5 · outbound

This paper cites Better aggregation in test-time augmentation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Better aggregation in test-time augmentation

Reference 30

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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=2026-08-06T15:18:08.040350Z digest=sha256:26a0a61ff528856d5d83365dc743865b99043659c1fc7d8219d920790b8ea35d

Observation fccfa956-1bb1-49ef-9247-d8ed62e85f5d · outbound

This paper cites Road object detection robust to distorted objects at the edge regions of images.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Road object detection robust to distorted objects at the edge regions of images

Reference 31

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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=2026-08-06T15:18:08.113911Z digest=sha256:9c5d6ed0ede64ee1b24b061092af1ec7f2b1e7b5d9a4a939f9101123b27d1665

Observation 7d7dfbea-a64a-462b-b9b1-72b140b0ce52 · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different ob- ject detection models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Weighted boxes fusion: Ensembling boxes from different ob- ject detection models

Reference 32

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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=2026-08-06T15:18:08.209045Z digest=sha256:13c141ce116ee8bdb7d5bde17619df93daaf87d2b4286f1c733b16758a1ed03d

Observation 35f4cfdd-b09b-4a57-8a4f-20fcdd8795eb · outbound

This paper cites Aerogen: Enhancing remote sensing object detection with diffusion-driven data generation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Aerogen: Enhancing remote sensing object detection with diffusion-driven data generation

Reference 33

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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=2026-08-06T15:18:08.284224Z digest=sha256:dfe312fd3090dc507c4df695a42b873c99c05ec086a6ddc9788d78ee4af63ffd

Observation d8a1dd72-72c1-48d2-8a29-602f1d79669f · outbound

This paper cites You Only Learn One Representation: Unified Network for Multiple Tasks.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective You Only Learn One Representation: Unified Network for Multiple Tasks

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:08.334547Z digest=sha256:060b16f08667f146781b8f8cb2e25e5a760aaac1d8ec7d1def077d7a1f4265cf

Observation 1a4df800-cd62-49a7-a03f-75a861ede26b · outbound

This paper cites Yolov9: Learning what you want to learn using pro- grammable gradient information.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Yolov9: Learning what you want to learn using pro- grammable gradient information

Reference 35

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raw_fallback, observed 2026-08-06T15:18:12.926381Z

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=2026-08-06T15:18:08.421986Z digest=sha256:e52234aa76fa8ab9ae5081c31b6fd86f7ccd81039c3c4e78f7a9baae6bdd8f50

Observation 6a70b3b2-80bb-4090-aa3f-2442ad1a128f · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Exploiting diffusion prior for real-world image super-resolution

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.914277Z

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=2026-08-06T15:18:08.490876Z digest=sha256:f3f908e8f96b90ba57241bd4a914d4aa288e65c987e21215a27cbdc0c53e5944

Observation f49da897-9b69-4c74-ab85-4c040a3f4b2b · outbound

This paper cites The 8th ai city challenge.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective The 8th ai city challenge

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.900576Z

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=2026-08-06T15:18:08.572641Z digest=sha256:0c0c919349adf08fb7c844eeb28ff45acc2f258eadec4f19d89f3b4152a4f115

Observation ce214b7f-1be4-4e11-8e77-34fdd0df7fa4 · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.886201Z

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=2026-08-06T15:18:08.667761Z digest=sha256:ff50d7d83a8dc1afe9be63dd97f1a33a02d7b1a57b2b5a1b5dc780ef1c6db855

Observation 1ab8d84b-c06f-451f-8ebc-df68bd6ef2d5 · outbound

This paper cites Instancediffusion: Instance- level control for image generation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Instancediffusion: Instance- level control for image generation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.796665Z

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=2026-08-06T15:18:08.737525Z digest=sha256:f507a5eba731f9f41fc96edd63470eef7872640ea6310e45d53a3aa7b362047d

Observation ffdd9fc2-e243-420b-9f0d-fbf3b45fe45d · outbound

This paper cites Ua-detrac: A new benchmark and protocol for multi-object detection and tracking.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Ua-detrac: A new benchmark and protocol for multi-object detection and tracking

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.618534Z

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=2026-08-06T15:18:08.766143Z digest=sha256:6d888a40895c492727ad6c4202979a4ad56f50cc409f769c1ab14329f3972dad

Observation 3da5c2f4-4b30-460d-a9fe-102d33fa3ecc · outbound

This paper cites Datasetdm: Synthesizing data with perception annota- tions using diffusion models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Datasetdm: Synthesizing data with perception annota- tions using diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.363046Z

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=2026-08-06T15:18:08.836472Z digest=sha256:793b3c76405c2480adaf30aee16e932215349f1b701be628afbcf3285a054b6a

Observation fe60728a-c428-44e1-bc94-7a586988e323 · outbound

This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:12.079805Z

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=2026-08-06T15:18:08.908271Z digest=sha256:67a6b4f47d74eb36608396be5abc8a89fb913015a5269e88e3fc99fa1ceae283

Observation 707bf371-b52e-4be0-ba8c-455f7740bb77 · outbound

This paper cites A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods

Reference 43

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unresolved
no resolver link, observed 2026-08-06T15:18:08.980744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:08.980744Z digest=sha256:0688462ce2878b3f379a3a5dae715adf4a207aedd93768366fe5ed128c4e947b

Observation 27d0308d-20da-463a-bf27-178b0bd5fc05 · outbound

This paper cites Reco: Region-controlled text-to-image genera- tion.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Reco: Region-controlled text-to-image genera- tion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:09.053555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:09.053555Z digest=sha256:6eaa4f7bbf45096073018273aacd331d6fc5ec5a8cdcff715dc986af6365605c

Observation 5216b767-0fc6-458d-8f8a-e789fc79b3e1 · outbound

This paper cites Navigating text- to-image customization: From lycoris fine-tuning to model evaluation.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Navigating text- to-image customization: From lycoris fine-tuning to model evaluation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:11.816844Z

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=2026-08-06T15:18:09.120145Z digest=sha256:f22eb16c7263bbc590fb655af8a35295f7e449e0d08e9841a8ff9bd974bd0557

Observation 61b92aae-a01b-415e-9237-6a1b07474364 · outbound

This paper cites Detrs beat yolos on real-time object detection.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Detrs beat yolos on real-time object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:11.620746Z

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=2026-08-06T15:18:09.215941Z digest=sha256:18b1d9eace3a4e20d677bec9deab6d6f857ff73c93966cc09d8edfda857d23a3

Observation c1f9b954-ffca-4828-9fdf-4e5211b2c077 · outbound

This paper cites Migc: Multi-instance generation controller for text-to-image synthesis.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Migc: Multi-instance generation controller for text-to-image synthesis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:11.383702Z

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=2026-08-06T15:18:09.282993Z digest=sha256:e9f3f63579b3df6fac7abcd69c0e9e956c1fe8450b46cf6429aa131b3bf3a9b6

Observation f6aa84b8-ba90-42cc-9005-615f5c732c5b · outbound

This paper cites DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models

Reference 48

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unresolved
no resolver link, observed 2026-08-06T15:18:09.380382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:09.380382Z digest=sha256:69fe73d75b6725fd12c8be46908333ffe126619dd6ab853383992e1b2ee1c26d

Observation da3fab33-2813-4342-ae49-66c65a8daba1 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 49

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no resolver link, observed 2026-08-06T15:18:09.464197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:09.464197Z digest=sha256:4c8b7f97d6967b699b8273686d742a5327522aafaeacbd977947fc21f60a3263

Observation 032d00b4-e604-4a66-962d-dd9c01c88002 · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 50

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no resolver link, observed 2026-08-06T15:18:09.555859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:09.555859Z digest=sha256:2fc28162049f9e9835f5ed690be0bfb020ba6eb7e51e0873d7ac69f286023c6e

Observation c9293b07-cd62-48ce-a00d-d1677b660f61 · outbound

This paper cites Detrs with col- laborative hybrid assignments training.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Detrs with col- laborative hybrid assignments training

Reference 51

Resolution
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raw_fallback, observed 2026-08-06T15:18:11.106860Z

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=2026-08-06T15:18:09.633565Z digest=sha256:a6131739b38fe9737af86c3382f056edfec00dd3f66eea4f1373469755f943ee

Observation 6356e0e7-175a-444b-b0a8-a0b578e1410f · outbound

This paper cites We specifically guided the model to ensure that the base captions included the key objects targeted in the fisheye dataset.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective We specifically guided the model to ensure that the base captions included the key objects targeted in the fisheye dataset

Reference 52

Resolution
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raw_fallback, observed 2026-08-06T15:18:10.903573Z

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=2026-08-06T15:18:09.720173Z digest=sha256:25dde2783b058b45a98adc0235d9938dba44eb73a24d60c4b77df2df004f7110

Observation e32549b8-0dc4-48e8-a184-ec54f38541cb · outbound

This paper cites These prompts were given to GPT-4.1-mini to rewrite base captions that are originally extracted from real data so that they better describe the types of images we aimed to generate.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective These prompts were given to GPT-4.1-mini to rewrite base captions that are originally extracted from real data so that they better describe the types of images we aimed to generate

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:10.609893Z

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=2026-08-06T15:18:09.796638Z digest=sha256:0825e81d024b5ca075b707b9fb00d2ede3bad9763513173343b7a30f3ad6949f

Observation 5303c14f-72d7-40e5-bd1d-9dba32b20169 · outbound

This paper cites Figure 1 presents five representative examples, where each column compares images generated from the base pre-trained model (top) and our fine-tuned model (bottom).

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Figure 1 presents five representative examples, where each column compares images generated from the base pre-trained model (top) and our fine-tuned model (bottom)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:10.363959Z

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=2026-08-06T15:18:09.896027Z digest=sha256:99b5304619f6fd0c6c462d34183612329cc92df178045e20a840c661492e5a15

Observation 5c08337d-66e3-4560-8e46-2af66237a990 · outbound

This paper cites Figure 2 shows that as the synthetic data improves, both false positives and false negatives are gradually reduced, indicating more accurate and confident detection.

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective Figure 2 shows that as the synthetic data improves, both false positives and false negatives are gradually reduced, indicating more accurate and confident detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:10.212238Z

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=2026-08-06T15:18:09.953391Z digest=sha256:a3a406652eb8791cc61b804ef6663ce2637beecd1a60fd52963319bc2724d5c4

Pith citing papers

Observation 606f1cdf-6290-4dd4-a389-3f2079f70259 · inbound

Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis cites this paper.

Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective

Reference 15

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verified exact
arxiv_id, observed 2026-05-18T12:51:23.706838Z

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=2026-05-18T12:46:25.942761Z digest=sha256:fadac8f32cf11c94e12d4d4c74799e59dd96157dc9e903dc015560341328c7d7

Observation bdda10fb-9454-445a-b9df-6991706834a1 · inbound

Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection cites this paper.

Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T23:08:04.399168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:08:04.399168Z digest=sha256:fd5bd3d0e7f2f01237f315466e9133e62d49914803b49641adeeaefd403cac89