Papers › FPB: Feature Pyramid Branch for Person Re-Identification
FPB: Feature Pyramid Branch for Person Re-Identification
Suofei Zhang, Zirui Yin, Xiofu Wu, Kun Wang, Quan Zhou, Bin Kang
High performance person Re-Identification (Re-ID) requires the model to focus on both global silhouette and local details of pedestrian. To extract such more representative features, an effective way is to exploit deep models with multiple branches. However, most multi-branch based methods implemented by duplication of part backbone structure normally lead to severe increase of computational cost. In this paper, we propose a lightweight Feature Pyramid Branch (FPB) to extract features from different layers of networks and aggregate them in a bidirectional pyramid structure. Cooperated by attention modules and our proposed cross orthogonality regularization, FPB significantly prompts the performance of backbone network by only introducing less than 1.5M extra parameters. Extensive experimental results on standard benchmark datasets demonstrate that our proposed FPB based model outperforms state-of-the-art methods with obvious margin as well as much less model complexity. FPB borrows the idea of the Feature Pyramid Network (FPN) from prevailing object detection methods. To our best knowledge, it is the first successful application of similar structure in person Re-ID tasks, which empirically proves that pyramid network as affiliated branch could be a potential structure in related feature embedding models. The source code is publicly available at https://github.com/anocodetest1/FPB.git.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Person Re-Identification | CUHK03 labeled | FPB | MAP | 83.8 | #6 of 21 | Archive leaderboard | report |
| Person Re-Identification | CUHK03 labeled | FPB | Rank-1 | 85.9 | #6 of 21 | Archive leaderboard | report |
| Person Re-Identification | DukeMTMC-reID | FPB | Rank-1 | 91.2 | #29 of 94 | Archive leaderboard | report |
| Person Re-Identification | DukeMTMC-reID | FPB | mAP | 82.9 | #29 of 94 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | FPB | Rank-1 | 96.1 | #30 of 135 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | FPB | mAP | 90.6 | #30 of 135 | Archive leaderboard | report |
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