Paper Citation Record · LEDGER

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images

As of 19 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2505.20687.

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

pith.paper-citation-record.v1
2505.20687 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:15.177952Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:11:01.013199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:13:13.554135Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy37
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a945b711-f758-4994-8906-39f2445ddfb4 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 1

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Observation 09e89508-a6d3-49f1-a0c6-b926a0dbdc7a · outbound

This paper cites Cascader-cnn:Delvingintohighqualityobjectdetection,in:ProceedingsoftheIEEEconferenceoncomputer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Cascader-cnn:Delvingintohighqualityobjectdetection,in:ProceedingsoftheIEEEconferenceoncomputer vision and pattern recognition, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.952598Z

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Observation 77558649-f587-441a-b8ac-28ba416780eb · outbound

This paper cites an unresolved cited work.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation f6fd9cb5-19ae-48d0-b4a3-a516282e7940 · outbound

This paper cites Detection of microalgae objects based on the improved yolov3 model.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Detection of microalgae objects based on the improved yolov3 model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.754414Z

Source-reported events for the cited work

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Observation 12f6c0f3-2186-45d0-a59c-dc40cc483fa5 · outbound

This paper cites End-to-endobjectdetectionwithtransformers,in:ECCV.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images End-to-endobjectdetectionwithtransformers,in:ECCV

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.532177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e4fc12c-e505-4d59-a425-2aadcd164b2b · outbound

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

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.536251Z

Source-reported events for the cited work

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Observation 8261f965-bd40-48cb-9979-cb60972020a5 · outbound

This paper cites DiffusionDet: Diffusion Model for Object Detection.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images DiffusionDet: Diffusion Model for Object Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.628962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec63404a-fc64-4381-8e1b-dd87c61b1323 · outbound

This paper cites Histograms of oriented gradients for human detection, in: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), Ieee.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Histograms of oriented gradients for human detection, in: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), Ieee

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.333462Z

Source-reported events for the cited work

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Observation 0c827704-dc43-4c8b-a38e-971868d30ab1 · outbound

This paper cites Bioindicators in marine waters: benthic diatoms as a tool to assess water quality from eutrophic to oligotrophic coastal ecosystems.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Bioindicators in marine waters: benthic diatoms as a tool to assess water quality from eutrophic to oligotrophic coastal ecosystems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.212069Z

Source-reported events for the cited work

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Observation 5e9ce6cd-c994-40cb-a486-745fa4cb8832 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.880858Z

Source-reported events for the cited work

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Observation 6e26c38a-3b53-45ea-9f06-c795d1b1a5bb · outbound

This paper cites Data augmentation for object detection via controllable diffusion models, in: Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Data augmentation for object detection via controllable diffusion models, in: Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:21.068406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be834c84-3aa2-467f-8e1a-a7b3c32aa537 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Simple copy-paste is a strong data augmentation method for instance segmentation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.852778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 455c576d-1e26-4afb-924c-5cd07c4bbdf8 · outbound

This paper cites Nas-fpn: Learning scalable feature pyramid architecture for object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Nas-fpn: Learning scalable feature pyramid architecture for object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.724985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a0a7ffe-4c8d-4a0b-918d-549abdebb631 · outbound

This paper cites Fast r-cnn, in: Proceedings of the IEEE international conference on computer vision, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Fast r-cnn, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.615094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ccbb09f-0938-4acd-8260-a6dd0fbec571 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Rich feature hierarchies for accurate object detection and semantic segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.505004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb651ff3-75ac-4778-a02d-891f78eb3c4d · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.438728Z

Source-reported events for the cited work

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Observation 82095888-b6c0-4571-84ac-345ef8822859 · outbound

This paper cites Coordinate attention for efficient mobile network design, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Coordinate attention for efficient mobile network design, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.356126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c8ce9d2-c9db-49c1-979f-b16697bccfe8 · outbound

This paper cites Ultralytics yolov5.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Ultralytics yolov5

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.625725Z

Source-reported events for the cited work

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Observation 8d8091b4-ff8e-4631-bb43-0946475a5db8 · outbound

This paper cites Ultralytics yolov8.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Ultralytics yolov8

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.217657Z

Source-reported events for the cited work

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Observation fd05a669-8058-4ec7-becf-c0c39d813ab1 · outbound

This paper cites Ultralytics yolo11.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Ultralytics yolo11

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:20.078980Z

Source-reported events for the cited work

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Observation 6f1f1482-6274-42c0-b0b9-52e4e7ffb32a · outbound

This paper cites Deep learning.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Deep learning

Reference 21

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Source-reported events for the cited work

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Observation 4cf98524-1f0d-48dc-b364-13df3e59c6dc · outbound

This paper cites YOLOv6 v3.0: A Full-Scale Reloading.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv6 v3.0: A Full-Scale Reloading

Reference 22

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Source-reported events for the cited work

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Observation b1c46ca5-73df-494e-b84a-a4dde1da70af · outbound

This paper cites An improved algae-yolo model based on deep learning for object detection of ocean microalgae considering aquacultural lightweight deployment.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images An improved algae-yolo model based on deep learning for object detection of ocean microalgae considering aquacultural lightweight deployment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:19.952609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d801a786-43e4-4d2b-bdca-564be5d4f265 · outbound

This paper cites Path aggregation network for instance segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Path aggregation network for instance segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:19.797741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26999b6f-fcbc-457e-a8ee-f177855aa101 · outbound

This paper cites Ssd: Single shot multibox detector.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Ssd: Single shot multibox detector

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:19.642464Z

Source-reported events for the cited work

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Observation 3b5cf9e8-e056-4fd5-99a1-9fbdc8abf7e0 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.362065Z

Source-reported events for the cited work

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Observation 743403e3-01b8-4e54-9206-461179788aca · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images DETRs Beat YOLOs on Real-time Object Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.443004Z

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Observation 91e17802-56bf-4dfe-9bfe-0c3c10e66467 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.536201Z

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Observation dd098d36-d75c-4e2e-9730-987d5f9901fd · outbound

This paper cites Science of the Total Environment 802, 149800.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Science of the Total Environment 802, 149800

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:19.425412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f63afc40-619a-41d7-8a43-ec845bd8380a · outbound

This paper cites Onthe integration of self-attentionand convolution, in:Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Onthe integration of self-attentionand convolution, in:Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:19.165576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79e45f8f-a323-4b6f-8946-9aba1816c042 · outbound

This paper cites Microalgae detection using a deep learning object detection algorithm, yolov3.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Microalgae detection using a deep learning object detection algorithm, yolov3

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:18.843046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57cc849d-7174-40ae-9c7b-e084fa6a7e2f · outbound

This paper cites Youonlylookonce:Unified,real-timeobjectdetection,in:ProceedingsoftheIEEE conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Youonlylookonce:Unified,real-timeobjectdetection,in:ProceedingsoftheIEEE conference on computer vision and pattern recognition, pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:18.664269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 292a7738-4ae8-41bb-851b-48081df42dee · outbound

This paper cites Yolo9000: better, faster, stronger, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Yolo9000: better, faster, stronger, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:18.496115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2379b1b-b380-4a87-98b3-d433cbe92715 · outbound

This paper cites YOLOv3: An Incremental Improvement.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv3: An Incremental Improvement

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.982802Z

Source-reported events for the cited work

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Observation 7dda1280-4199-4ea2-9767-3b87df1a7534 · outbound

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

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:18.283245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 426fff5e-1b64-4e86-9b7f-b9b624aecc6d · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different object detection models.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Weighted boxes fusion: Ensembling boxes from different object detection models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:18.138623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad9e25e0-abba-46e7-8d2c-23c1703ff299 · outbound

This paper cites Commercial applications of microalgae.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Commercial applications of microalgae

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:17.928089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f88ae10-b511-47f7-a496-67d0b541d7e7 · outbound

This paper cites Efficientdet: Scalable and efficient object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Efficientdet: Scalable and efficient object detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:17.702650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a1136aa-dac4-42f6-94cf-f2c21a446a87 · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.364460Z

Source-reported events for the cited work

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Observation 9a1d887e-f27e-489d-bcfb-d5b4025c5e1f · outbound

This paper cites Effective Data Augmentation With Diffusion Models.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Effective Data Augmentation With Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.438827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8834476-b823-489d-b35e-3563b587478f · outbound

This paper cites Rapid object detection using a boosted cascade of simple features, in: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Rapid object detection using a boosted cascade of simple features, in: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:17.516340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31e16a10-4c69-4583-96d2-4c0b4b176a58 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv10: Real-Time End-to-End Object Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.605221Z

Source-reported events for the cited work

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Observation 505f4a93-8bd5-4ccc-843a-b8fc9edeaed1 · outbound

This paper cites YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.683522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e646bc1-7902-4c21-840a-33a150f0deec · outbound

This paper cites YOLOv9: Learning what you want to learn using programmable gradient information.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images YOLOv9: Learning what you want to learn using programmable gradient information

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:17.325778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa8bd85f-6d9d-4707-9409-e891235491d3 · outbound

This paper cites Carafe:Content-awarereassemblyoffeatures,in:ProceedingsoftheIEEE/CVF International Conference on Computer Vision (ICCV).

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Carafe:Content-awarereassemblyoffeatures,in:ProceedingsoftheIEEE/CVF International Conference on Computer Vision (ICCV)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:17.110976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36c1b141-9697-4979-88a5-ac5b77e8da80 · outbound

This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Internimage: Exploring large-scale vision foundation models with deformable convolutions, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.933593Z

Source-reported events for the cited work

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Observation 69d18814-c975-4773-a6e3-d79827d1bac7 · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Convnext v2: Co-designing and scaling convnets with masked autoencoders, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.837493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cf64bf5-adc6-4c2d-936b-771278802aab · outbound

This paper cites Cbam: Convolutional block attention module, in: Proceedings of the European conference on computer vision (ECCV), pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Cbam: Convolutional block attention module, in: Proceedings of the European conference on computer vision (ECCV), pp

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:14.087779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db263e2-a3b7-4d78-a0db-c68e52655c44 · outbound

This paper cites Aggregated Residual Transformations for Deep Neural Networks.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Aggregated Residual Transformations for Deep Neural Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:14.157058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61fb932-911e-4511-a34d-d26b874e633f · outbound

This paper cites Yolox model-based object detection for microalgal bioprocess.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Yolox model-based object detection for microalgal bioprocess

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.674936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e811ea7-9252-49f7-96d8-0d3e588c4536 · outbound

This paper cites Focal modulation networks.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Focal modulation networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.522891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbe02c5d-a52a-40a3-8e13-ab747dd6ae92 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images mixup: Beyond Empirical Risk Minimization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:14.515282Z

Source-reported events for the cited work

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Observation e3cfb45b-45f6-4a13-ad8e-827231805dd5 · outbound

This paper cites Enhancingrareobjectdetectiononroadwaysthroughconditionaldiffusion models for data augmentation.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Enhancingrareobjectdetectiononroadwaysthroughconditionaldiffusion models for data augmentation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.386014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a34199c4-819b-47bf-ac38-c3ad628bbfdf · outbound

This paper cites Computer vision meets microfluidics: a label-free method for high-throughput cell analysis.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Computer vision meets microfluidics: a label-free method for high-throughput cell analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.211352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation defc46cf-860a-4417-9da3-fbccad48c3b4 · outbound

This paper cites A microfluidic microalgae detection system for cellular physiological response based on an object detection algorithm.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images A microfluidic microalgae detection system for cellular physiological response based on an object detection algorithm

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:16.084660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 109fbccc-541a-4608-9efc-7b1ac9645e72 · outbound

This paper cites Vision meets algae: A novel way for microalgae recognization and health monitor.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Vision meets algae: A novel way for microalgae recognization and health monitor

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:15.881573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93c5a9dc-5bb5-4462-a28f-f418607cf55f · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection, in: International Conference on Learning Representations.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Deformable detr: Deformable transformers for end-to-end object detection, in: International Conference on Learning Representations

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:15.744217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 702d2f38-f7a7-42e6-a2ba-e55dc0fa3400 · outbound

This paper cites Detrs with collaborative hybrid assignments training, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Detrs with collaborative hybrid assignments training, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:15.571284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation acb69bae-0ae1-4e56-a29a-647944118232 · inbound

Generalized Small Object Detection:A Point-Prompted Paradigm and Benchmark cites this paper.

Generalized Small Object Detection:A Point-Prompted Paradigm and Benchmark VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:13:13.557540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.