YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID | Paper Citation Record

Observation cc9a03d8-0927-41cf-ba65-8f005ee6d00a · outbound

This paper cites Bot-sort: Robust associations multi-pedestrian tracking, 2022.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Bot-sort: Robust associations multi-pedestrian tracking, 2022

Reference 1

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Observation 525b8f75-0c61-4106-b5b7-de6c9d137b73 · outbound

This paper cites Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.349738Z

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Observation 27f37892-82eb-4735-a439-f5b3ab131e3e · outbound

This paper cites Bakhtiar Hasan, A.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Bakhtiar Hasan, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.340316Z

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Observation c8d23886-13de-409e-98a8-187711d0e41f · outbound

This paper cites Evaluating mul- tiple object tracking performance: The clear mot metrics.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Evaluating mul- tiple object tracking performance: The clear mot metrics

Reference 4

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Observation eb945bdf-4236-4a16-8d8e-30b0b7916d7a · outbound

This paper cites Simple online and realtime tracking.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Simple online and realtime tracking

Reference 5

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Observation f614b52b-064d-4ece-8ae8-85a6d389714a · outbound

This paper cites Yolov4: Optimal speed and accuracy of object detection, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Yolov4: Optimal speed and accuracy of object detection, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.312314Z

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Observation 9bcfd8e5-97e4-4d20-bbe6-d7f50e4a57ce · outbound

This paper cites A unifying mutual information view of metric learn- ing: cross-entropy vs.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID A unifying mutual information view of metric learn- ing: cross-entropy vs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.302761Z

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Observation 25988aa7-3029-4878-93b4-0fdfbd4f88ba · outbound

This paper cites Ross Beveridge, and Stephen O’Hara.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Ross Beveridge, and Stephen O’Hara

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.293083Z

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Observation 40f3af58-dbe0-4d5b-93ee-1dd0d4956f7d · outbound

This paper cites Large scale online learning of image similarity through rank- ing.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Large scale online learning of image similarity through rank- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.283400Z

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Observation c39179b1-0fbb-412c-a527-453df67e9da6 · outbound

This paper cites A simple framework for contrastive learning of visual representations, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID A simple framework for contrastive learning of visual representations, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.273688Z

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Observation 40db92c5-f102-4640-9e4d-2ae57c7f39e4 · outbound

This paper cites Deep learning in video multi-object tracking: A survey.Neu- rocomputing, 381:61–88, Mar.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Deep learning in video multi-object tracking: A survey.Neu- rocomputing, 381:61–88, Mar

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.263948Z

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Observation 4f3c4ab3-d619-48e0-bc0f-182c8c612823 · outbound

This paper cites Soccernet-tracking: Multiple object track- ing dataset and benchmark in soccer videos, 2022.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Soccernet-tracking: Multiple object track- ing dataset and benchmark in soccer videos, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.254374Z

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Observation 729b7550-1f50-43af-81d0-4e7262daaeb4 · outbound

This paper cites Motchallenge: A benchmark for single-camera multiple target tracking, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Motchallenge: A benchmark for single-camera multiple target tracking, 2020

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.244825Z

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Observation f67f6cf4-c853-4060-83f5-df90ef921f9e · outbound

This paper cites Mot20: A benchmark for multi object tracking in crowded scenes, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Mot20: A benchmark for multi object tracking in crowded scenes, 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.234811Z

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Observation db5b1a90-4e6b-433e-9946-d132d25a60ee · outbound

This paper cites Pedestrian detection: A benchmark.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Pedestrian detection: A benchmark

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.224502Z

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Observation 7541e86c-fbfc-450d-ad64-f629e2636d3e · outbound

This paper cites Strongsort: Make deep- sort great again, 2023.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Strongsort: Make deep- sort great again, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.214531Z

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Observation 6c1b8d5d-774b-470a-934e-a5f28e8959f0 · outbound

This paper cites A mobile vision system for robust multi-person tracking.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID A mobile vision system for robust multi-person tracking

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.204890Z

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Observation cac4f333-0968-4135-8204-efc7bef7475e · outbound

This paper cites Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, and Fisher Yu.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, and Fisher Yu

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.195328Z

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Observation 1807ccf1-18e3-4a53-98b3-6b1b910c4d57 · outbound

This paper cites Unsuper- vised pre-training for person re-identification, 2021.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unsuper- vised pre-training for person re-identification, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.185449Z

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Observation 4f65cdc4-b529-4f1e-8714-748f8068d1c0 · outbound

This paper cites Yolox: Exceeding yolo series in 2021, 2021.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Yolox: Exceeding yolo series in 2021, 2021

Reference 20

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Observation e0464811-c11a-4733-a75b-387df38f08ff · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Momentum contrast for unsupervised visual rep- resentation learning, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.170038Z

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Observation 6cc65fda-9f4a-4e58-ae94-741f5a92768a · outbound

This paper cites FastReID: A Pytorch Toolbox for General Instance Re-identification.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID FastReID: A Pytorch Toolbox for General Instance Re-identification

Reference 22

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Observation e60822e0-f194-4546-9a21-4234725a4f73 · outbound

This paper cites In de- fense of the triplet loss for person re-identification, 2017.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID In de- fense of the triplet loss for person re-identification, 2017

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.159988Z

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Observation b97a2a0b-9ae8-4400-9eef-e292b3afa3ec · outbound

This paper cites Joint monocular 3d vehicle detection and tracking, 2019.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Joint monocular 3d vehicle detection and tracking, 2019

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.150384Z

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Observation 0c6614f5-fb55-4365-bf7b-55d16e387d11 · outbound

This paper cites Ultralytics yolov5, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Ultralytics yolov5, 2020

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.140522Z

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Observation a00e18ae-8336-47b5-a816-8ef09c90f32d · outbound

This paper cites Ultralytics yolo11, 2024.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Ultralytics yolo11, 2024

Reference 26

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Observation 6a155e79-a535-4ccf-8468-c8c746d44eea · outbound

This paper cites Ultralytics YOLO, Jan.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Ultralytics YOLO, Jan

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.125357Z

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Observation 04356408-760a-4c85-ba75-8de466fe30ca · outbound

This paper cites Conftrack: Kalman filter-based multi- person tracking by utilizing confidence score of detection box.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Conftrack: Kalman filter-based multi- person tracking by utilizing confidence score of detection box

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.113491Z

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Observation 14159da6-3658-4da3-bd87-597a1398d770 · outbound

This paper cites Multi- ple object tracking for football game analysis.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Multi- ple object tracking for football game analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.104056Z

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Observation 395c9ba9-5725-46cb-a262-90289cd14335 · outbound

This paper cites an unresolved cited work.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unresolved cited work

Reference 30

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Observation 660a4a4b-319d-4edb-8315-3cd23bfd6e50 · outbound

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YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unresolved cited work

Reference 31

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Observation 71f49c73-aa0d-4773-b8b7-f8f41a7f372a · outbound

This paper cites Simpletrack: Re- thinking and improving the jde approach for multi-object tracking, 2022.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Simpletrack: Re- thinking and improving the jde approach for multi-object tracking, 2022

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.074465Z

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Observation 5a3a8dd4-52e3-4919-a016-b501551956c6 · outbound

This paper cites One more check: Making ”fake background” be tracked again, 2021.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID One more check: Making ”fake background” be tracked again, 2021

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.064351Z

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Observation 7adc1865-413c-4c77-88a9-334877c007bb · outbound

This paper cites Rethinking the competition between detection and reid in multi-object tracking, 2022.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Rethinking the competition between detection and reid in multi-object tracking, 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.054039Z

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Observation b9f1c797-eed4-4799-99fe-c0195a3f9166 · outbound

This paper cites Focal loss for dense object detection, 2018.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Focal loss for dense object detection, 2018

Reference 35

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Observation 11dda27a-4b54-42c8-ad9a-fcd0630b36a8 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Lawrence Zitnick, and Piotr Doll ´ar

Reference 36

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This paper cites Unsupervised person re-identification via softened similarity learning.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unsupervised person re-identification via softened similarity learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.027532Z

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Observation 6ddbd47e-0207-446f-b0bb-e304fb7eec77 · outbound

This paper cites Retinatrack: Online single stage joint detection and tracking, 2020.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Retinatrack: Online single stage joint detection and tracking, 2020

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.016505Z

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Observation 4c408b47-6aae-4550-906f-0f60703ae6c7 · outbound

This paper cites Hota: A higher order metric for evaluating multi- object tracking.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Hota: A higher order metric for evaluating multi- object tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:54.006377Z

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Observation 686031ec-2c24-42bf-b587-24c39754738a · outbound

This paper cites Mot16: A benchmark for multi-object tracking, 2016.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Mot16: A benchmark for multi-object tracking, 2016

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.996742Z

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Observation 5be918df-e36d-41a7-ab7c-db0027cd73b1 · outbound

This paper cites PyTorch Metric Learning.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID PyTorch Metric Learning

Reference 41

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Observation 898e9a0e-4e5b-432f-9bd8-6751fab6efc4 · outbound

This paper cites Sort and deep-sort based multi-object tracking for mobile robotics: Evaluation with new data association metrics.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Sort and deep-sort based multi-object tracking for mobile robotics: Evaluation with new data association metrics

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.986829Z

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Observation 540e5262-2e96-47fc-9ef9-4ecf363ff31b · outbound

This paper cites Yolov3: An incremental improvement, 2018.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Yolov3: An incremental improvement, 2018

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.976986Z

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Observation 4a5f6309-35ed-4c97-95ef-ed79db8b4b46 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks, 2016.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Faster r-cnn: Towards real-time object detection with region proposal networks, 2016

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.584363Z

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Observation d8ab971c-8e4b-4087-a4d5-c891ca7c2893 · outbound

This paper cites Joint counting, detection and re- identification for multi-object tracking, 2024.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Joint counting, detection and re- identification for multi-object tracking, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.961753Z

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Observation 67479902-1047-4edd-b1b9-5d9133fa384e · outbound

This paper cites Zou, Rita Cuc- chiara, and Carlo Tomasi.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Zou, Rita Cuc- chiara, and Carlo Tomasi

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.952134Z

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Observation 3ec9254c-24d9-4345-8691-07bf7cff96f6 · outbound

This paper cites Rousseeuw.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Rousseeuw

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.942409Z

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Observation 91e06b60-d2e1-401f-9c3a-4d405c1390e3 · outbound

This paper cites Facenet: A unified embedding for face recognition and clus- tering.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Facenet: A unified embedding for face recognition and clus- tering

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.596984Z

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Observation a70c6689-8891-4146-b0f8-9dd10295e0c9 · outbound

This paper cites Crowdhuman: A benchmark for detecting human in a crowd, 2018.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Crowdhuman: A benchmark for detecting human in a crowd, 2018

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.926582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a70e9876-15fb-43d8-876b-9c928dbd9b28 · outbound

This paper cites Boost- track: boosting the similarity measure and detection confi- dence for improved multiple object tracking.Machine Vision and Applications, 35(3), 2024.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Boost- track: boosting the similarity measure and detection confi- dence for improved multiple object tracking.Machine Vision and Applications, 35(3), 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.916674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57bb23d8-9acf-4389-bc24-a17290005d1d · outbound

This paper cites Online and real-time tracking in a surveillance scenario, 2021.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Online and real-time tracking in a surveillance scenario, 2021

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.907235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93645a70-706f-4439-93a4-a9c651b4a733 · outbound

This paper cites Repre- sentation learning with contrastive predictive coding, 2019.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Repre- sentation learning with contrastive predictive coding, 2019

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.897577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b766ccf-3738-4695-a7d0-5e324142b4f9 · outbound

This paper cites Clausi, and John Zelek.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Clausi, and John Zelek

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.887686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a179f5ca-d2f3-41e1-ac8b-35006c159fc8 · outbound

This paper cites Deep metric learning with angular loss, 2017.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Deep metric learning with angular loss, 2017

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.877802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 929afb34-991f-4aab-a521-274110162d72 · outbound

This paper cites an unresolved cited work.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:42:53.868227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df4b8054-2c2e-4a4c-a7b6-6514682d0901 · outbound

This paper cites Smiletrack: Simi- larity learning for occlusion-aware multiple object tracking,.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Smiletrack: Simi- larity learning for occlusion-aware multiple object tracking,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.857891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bcf5a771-06d4-42ec-a1a3-0b2c6f6a156f · outbound

This paper cites Towards real-time multi-object tracking,.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Towards real-time multi-object tracking,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.848059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90a75f70-dd05-4ea6-95e6-67a93525c860 · outbound

This paper cites an unresolved cited work.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:42:53.838175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46d8b6be-a5a3-4813-880d-d77a7ae2adfd · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Simple online and realtime tracking with a deep association metric,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.632530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7384025e-a799-4de4-87e4-432cb7e2455f · outbound

This paper cites Joint detection and identification feature learn- ing for person search, 2017.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Joint detection and identification feature learn- ing for person search, 2017

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.822694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad16186a-97f0-4a32-a4af-35b70d2abcd0 · outbound

This paper cites Hard to track objects with irregular motions and sim- ilar appearances? make it easier by buffering the matching space, 2023.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Hard to track objects with irregular motions and sim- ilar appearances? make it easier by buffering the matching space, 2023

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.812740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d895088f-9b9c-4879-8c93-a0d8648c5956 · outbound

This paper cites Utm: A unified multiple object tracking model with identity- aware feature enhancement.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Utm: A unified multiple object tracking model with identity- aware feature enhancement

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.802991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25860692-002f-439e-a9d0-48f6785fab2e · outbound

This paper cites Relationtrack: Relation-aware multiple object tracking with decoupled representation, 2021.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Relationtrack: Relation-aware multiple object tracking with decoupled representation, 2021

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.793295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38636eed-9754-4732-add0-9fbdbb755d74 · outbound

This paper cites Poi: Multiple object tracking with high per- formance detection and appearance feature, 2016.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Poi: Multiple object tracking with high per- formance detection and appearance feature, 2016

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.782940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 938de5d8-6b72-4589-a9c5-d71e793f7458 · outbound

This paper cites Dauphin, and David Lopez-Paz.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Dauphin, and David Lopez-Paz

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.651561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a9b9be-604e-43ee-b259-6dbb23f7c2b0 · outbound

This paper cites Citypersons: A diverse dataset for pedestrian detection,.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Citypersons: A diverse dataset for pedestrian detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.767213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0d020f8-4a90-4fdf-8da5-216d08313bca · outbound

This paper cites Tempo- ral correlation meets embedding: Towards a 2nd generation of jde-based real-time multi-object tracking, 2024.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Tempo- ral correlation meets embedding: Towards a 2nd generation of jde-based real-time multi-object tracking, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.757272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a22c32c7-4fe1-4b31-9b3a-2713911ef700 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box, 2022.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Bytetrack: Multi-object tracking by associating every detection box, 2022

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T15:42:53.661256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 173d80ee-3c5c-4291-8d7e-2ade12265cc1 · outbound

This paper cites Fairmot: On the fairness of detection and re- identification in multiple object tracking.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Fairmot: On the fairness of detection and re- identification in multiple object tracking

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.741173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c334804b-c5f3-468d-a787-7206de5e529e · outbound

This paper cites Person re-identification in the wild, 2017.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Person re-identification in the wild, 2017

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.730374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f849073-a376-44f8-8674-0acabc199af6 · outbound

This paper cites Ob- jects as points, 2019.

YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Ob- jects as points, 2019

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:42:53.720316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers