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VLA-ReID
holmescao/VLA-ReID
VLA-ReID is a machine learning model from holmescao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Weights and precomputed assets for VLA-ReID (Video-Level Association re-ID): set-relative appearance re-scoring for multi-object tracking of highly similar objects, evaluated on the BEE24 benchmark. Frame-Common Appea…
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Updated Jul 17, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Jul 17, 2026
- SHA
- caae5b4f
Model card
From the Hugging Face model README
VLA-ReID: Video-Level Association for Re-Identification in Multi-Object Tracking of Highly Similar Objects
Weights and precomputed assets for VLA-ReID (Video-Level Association re-ID): set-relative appearance re-scoring for multi-object tracking of highly similar objects, evaluated on the BEE24 benchmark. Frame-Common Appearance Estimation (FCAE) + Common Appearance Suppression (CAS) plug into TrackTrack by replacing only its appearance term.
BEE24 test (official 5-sequence split, shared YOLOX detections):
| Method | HOTA | MOTA | IDF1 | AssA | IDs |
|---|---|---|---|---|---|
| TrackTrack (baseline) | 48.05 | 65.69 | 64.12 | 45.91 | 606 |
| VLA-ReID (ours) | 49.22 | 67.02 | 64.93 | 46.64 | 437 |
See the GitHub repository for installation and step-by-step reproduction instructions; the file-by-file manifest (destination paths + SHA-256) is in WEIGHTS.md.
| File | Bytes | Role |
|---|---|---|
yolox_x_bee24.pth.tar | 792,835,731 | YOLOX-X bee detector |
bee24_test_0.80.pickle / bee24_test_0.95.pickle | 6,162,932 / 8,818,700 | shared detections (dual NMS) |
sam3_bee24_finetuned.pt | 3,371,888,621 | SAM3 segmentation checkpoint fine-tuned on bee foreground (base model by Meta AI; redistributed under the SAM license terms) |
bee_direction_resnet18_triclass.joblib | 44,790,820 | bee orientation classifier |
reid_stage1_agw_s50.pth | 331,487,317 | stage-1 AGW-ResNeSt50 encoder (baseline) |
reid_stage1_agw_s50_ep60.pth | 331,487,317 | stage-1 epoch-60 checkpoint (stage-2 init) |
vla_reid_encoder.pth | 102,195,690 | stage-2 encoder export (feature extraction) |
vla_reid_cas.pth | 135,772,354 | stage-2 FCAE+CAS checkpoint (tracker injection) |
aflink.pth | 4,348,705 | AFLink post-linking weight |
Code license: MIT (see the GitHub repo's NOTICE for vendored-component licenses). sam3_bee24_finetuned.pt is a derivative of Meta AI's SAM3 checkpoint and follows the SAM license.
If you use the BEE24 benchmark, please cite:
@ARTICLE{10851814,
author={Cao, Xiaoyan and Zheng, Yiyao and Yao, Yao and Qin, Huapeng and Cao, Xiaoyu and Guo, Shihui},
journal={IEEE Transactions on Image Processing},
title={TOPIC: A Parallel Association Paradigm for Multi-Object Tracking Under Complex Motions and Diverse Scenes},
year={2025},
volume={34},
pages={743-758},
doi={10.1109/TIP.2025.3526066}}
- License
- mit
- Created
- Jul 16, 2026
- Updated
- Jul 17, 2026