Papers › ABD-Net: Attentive but Diverse Person Re-Identification
ABD-Net: Attentive but Diverse Person Re-Identification
Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
Attention mechanism has been shown to be effective for person re-identification (Re-ID). However, the learned attentive feature embeddings which are often not naturally diverse nor uncorrelated, will compromise the retrieval performance based on the Euclidean distance. We advocate that enforcing diversity could greatly complement the power of attention. To this end, we propose an Attentive but Diverse Network (ABD-Net), which seamlessly integrates attention modules and diversity regularization throughout the entire network, to learn features that are representative, robust, and more discriminative. Specifically, we introduce a pair of complementary attention modules, focusing on channel aggregation and position awareness, respectively. Furthermore, a new efficient form of orthogonality constraint is derived to enforce orthogonality on both hidden activations and weights. Through careful ablation studies, we verify that the proposed attentive and diverse terms each contributes to the performance gains of ABD-Net. On three popular benchmarks, ABD-Net consistently outperforms existing state-of-the-art methods.
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Code
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Code Syntology ran Syntology
9 samples harvested; 1 ran; 0 honoured the contract we drafted; 8 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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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 | DukeMTMC-reID | ABD-Net (ResNet-50) | Rank-1 | 89.0 | #53 of 94 | Archive leaderboard | report |
| Person Re-Identification | DukeMTMC-reID | ABD-Net (ResNet-50) | mAP | 78.59 | #53 of 94 | Archive leaderboard | report |
| Person Re-Identification | MSMT17 | ABD-Net (ResNet-50) | Rank-1 | 82.3 | #31 of 43 | Archive leaderboard | report |
| Person Re-Identification | MSMT17 | ABD-Net (ResNet-50) | mAP | 60.8 | #31 of 43 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | ABD-Net (ResNet-50) | Rank-1 | 95.6 | #51 of 135 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | ABD-Net (ResNet-50) | mAP | 88.28 | #51 of 135 | Archive leaderboard | report |
| Person Re-Identification | Market-1501-C | ABD-Net | Rank-1 | 29.65 | #15 of 22 | Archive leaderboard | report |
| Person Re-Identification | Market-1501-C | ABD-Net | mAP | 9.81 | #15 of 22 | Archive leaderboard | report |
| Person Re-Identification | Market-1501-C | ABD-Net | mINP | 0.26 | #15 of 22 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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