Paper Citation Record · LEDGER

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

As of 7 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 2026-08-06T06:34:29.942622+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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.205692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:05.758862Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.192616Z

Source-reported events for the cited work

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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-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:06.011451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:06.126143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:06.197508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.163387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.151168Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.139860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.127568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.106114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:06.780393Z

Source-reported events for the cited work

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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-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.085734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:18:13.073789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.118271Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.054102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.042852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.424734Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.031763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.019721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.613301Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:13.007753Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.723930Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.834930Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.907164Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:07.981866Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:12.971839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:12.960757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:12.949099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:18:12.937574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

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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

Resolution: verified fuzzy; 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 2026-08-06T06:34:29.942622+00:00.

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

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

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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: verified fuzzy; 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 2026-08-06T06:34:29.942622+00:00.

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: verified fuzzy; 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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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 2026-08-06T06:34:29.942622+00:00.

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

Resolution: 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 2026-08-06T06:34:29.942622+00:00.

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

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