mlsanityData to 14 Oct 2026

No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyond

arXiv 2506.01373 ↗First posted 2 Jun 2025cs.CVcited by 6

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Abstract (arXiv)

Multi-object tracking (MOT) is essential for sports analytics, enabling performance evaluation and tactical insights. However, tracking in sports is challenging due to fast movements, occlusions, and camera shifts. Traditional tracking-by-detection methods require extensive tuning, while segmentation-based approaches struggle with track processing. We propose McByte, a tracking-by-detection framework that integrates temporally propagated segmentation mask as an association cue to improve robustness without per-video tuning. Unlike many existing methods, McByte does not require training, relying solely on pre-trained models and object detectors commonly used in the community. Evaluated on SportsMOT, DanceTrack, SoccerNet-tracking 2022 and MOT17, McByte demonstrates strong performance across sports and general pedestrian tracking. Our results highlight the benefits of mask propagation for a more adaptable and generalizable MOT approach. Code will be made available at https://github.com/tstanczyk95/McByte.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 37 of its 46 references that are in the map. First posted on arXiv 2 Jun 2025.

Builds on

37 of 46 references.

References · 37

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2023Segment Anythingcited by 8,234
  5. 2019Parameter-Efficient Transfer Learning for NLPcited by 4,236
  6. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,332
  7. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  8. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,071
  9. 2021ByteTrack: Multi-Object Tracking by Associating Every Detection Boxcited by 823
  10. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 692
  11. 2022Detecting Twenty-thousand Classes using Image-level Supervisioncited by 614
  12. 2020HOTA: A Higher Order Metric for Evaluating Multi-Object Trackingcited by 552
25 more
  1. 2016MOT16: A Benchmark for Multi-Object Trackingcited by 532
  2. 2020FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Trackingcited by 490
  3. 2020Tracking Objects as Pointscited by 483
  4. 2022XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Modelcited by 439
  5. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 381
  6. 2022Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingcited by 346
  7. 2021DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motioncited by 217
  8. 2023Tracking Anything with Decoupled Video Segmentationcited by 197
  9. 2023Putting the Object Back into Video Object Segmentationcited by 188
  10. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
  11. 2020MOTChallenge: A Benchmark for Single-Camera Multiple Target Trackingcited by 136
  12. 2023Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identificationcited by 132
  13. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 131
  14. 2023MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Trackingcited by 88
  15. 2022SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videoscited by 80
  16. 2023Hybrid-SORT: Weak Cues Matter for Online Multi-Object Trackingcited by 67
  17. 2022Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Spacecited by 66
  18. 2022Unifying Short and Long-Term Tracking with Graph Hierarchiescited by 62
  19. 2024Multiple Object Tracking as ID Predictioncited by 60
  20. 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Predictioncited by 59
  21. 2021RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representationcited by 52
  22. 2024Matching Anything by Segmenting Anythingcited by 50
  23. 2022GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021cited by 46
  24. 2024Towards Generalizable Multi-Object Trackingcited by 23
  25. 2022The Second-place Solution for CVPR 2022 SoccerNet Tracking Challengecited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 4.

6 papers.