| File | Fine-tuned On | Evaluated On | MOTA | IDF1 | HOTA | IDs | FPS | Experiment |
|---|---|---|---|---|---|---|---|---|
yolox_x_MOT17_ablation.pt | CrowdHuman + MOT17 train first half | MOT17 half val | 76.6 | 79.3 | — | 159 | 29.6 | yolox_x_ablation.py |
yolox_x_MOT17_test.pt | CrowdHuman + MOT17 full train + Cityperson + ETHZ | MOT17 train | 90.0 | 83.3 | — | 422 | 29.6 | yolox_x_mix_det.py |
yolox_x_MOT20_ablation.pt | CrowdHuman + MOT20 train first half + Widerperson | — | — | — | — | — | — | yolox_x_dance_val.py |
yolox_x_MOT20_test.pt | CrowdHuman + MOT20 full train | MOT20 train | 93.4 | 89.3 | — | 1057 | 17.5 | yolox_x_mix_det.py |
yolox_x_sportsmot.pt | SportsMOT train + val | SportsMOT test | 96.3 | 79.8 | 77.2 | — | — | yolox_x_ch_sportsmot.py |
yolox_x_dancetrack.pt | DanceTrack full train + CrowdHuman + Widerperson | DanceTrack test | 93.6 | 67.8 | 66.5 | — | — | yolox_x_dance_test.py |
yolox_x_visdrone.pt | VisDrone-MOT trainval | VisDrone-MOT test-dev | 52.3 | 69.0 | — | 1052 | 19.4 | yolox_x_u2mot_visdrone.py |
depth=1.33, width=1.25), input size 800×1440 (except VisDrone: 896×1600), single pedestrian class (except VisDrone: 10 classes). Size ~756 MB (VisDrone: 806 MB).Focusing on Tracks for Online Multi-Object Tracking Kyujin Shim, Kangwook Ko, Yujin Yang, Changick Kim Korea Advanced Institute of Science and Technology (KAIST) CVPR 2025
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports Hsiang-Wei Huang, Cheng-Yen Yang, Jiacheng Sun, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee, Chung-I Huang, Jenq-Neng Hwang Information Processing Lab, University of Washington; ETRI; National Center for High-Performance Computing arXiv:2306.13074 (2023)
Uncertainty-aware Unsupervised Multi-Object Tracking Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye Zhejiang University; Alibaba DAMO Academy arXiv:2307.15409 (2023)
ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang arXiv:2110.06864 (2021)
1# MOT17 evaluation (auto-downloads yolox_x_MOT17_ablation.pt)
2boxmot eval --benchmark mot17 --split ablation --tracker boosttrack
3
4# SportsMOT evaluation (auto-downloads yolox_x_sportsmot.pt)
5boxmot eval --benchmark sportsmot --split ablation --tracker boosttrack1from boxmot import Boxmot
2
3# SportsMOT with YOLOX-X detector
4tracker = Boxmot(detector="yolox_x_sportsmot", tracker="boosttrack")
5results = tracker.track(source="path/to/video.mp4")1@inproceedings{shim2025tracktrack,
2 title={Focusing on Tracks for Online Multi-Object Tracking},
3 author={Shim, Kyujin and Ko, Kangwook and Yang, Yujin and Kim, Changick},
4 booktitle={CVPR},
5 year={2025}
6}
7
8@article{huang2023deep,
9 title={Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports},
10 author={Huang, Hsiang-Wei and Yang, Cheng-Yen and Sun, Jiacheng and Kim, Pyong-Kun and Kim, Kwang-Ju and Lee, Kyoungoh and Huang, Chung-I and Hwang, Jenq-Neng},
11 journal={arXiv preprint arXiv:2306.13074},
12 year={2023}
13}
14
15@article{liu2023u2mot,
16 title={Uncertainty-aware Unsupervised Multi-Object Tracking},
17 author={Liu, Kai and Jin, Sheng and Fu, Zhihang and Chen, Ze and Jiang, Rongxin and Ye, Jieping},
18 journal={arXiv preprint arXiv:2307.15409},
19 year={2023}
20}
21
22@article{zhang2021bytetrack,
23 title={ByteTrack: Multi-Object Tracking by Associating Every Detection Box},
24 author={Zhang, Yifu and Sun, Peize and Jiang, Yi and Yu, Dongdong and Yuan, Zehuan and Luo, Ping and Liu, Wenyu and Wang, Xinggang},
25 journal={arXiv preprint arXiv:2110.06864},
26 year={2021}
27}
28
29@article{ge2021yolox,
30 title={YOLOX: Exceeding YOLO Series in 2021},
31 author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
32 journal={arXiv preprint arXiv:2107.08430},
33 year={2021}
34}