Papers › Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification
Shiyu Xuan, Shiliang Zhang
Most of unsupervised person Re-Identification (Re-ID) works produce pseudo-labels by measuring the feature similarity without considering the distribution discrepancy among cameras, leading to degraded accuracy in label computation across cameras. This paper targets to address this challenge by studying a novel intra-inter camera similarity for pseudo-label generation. We decompose the sample similarity computation into two stage, i.e., the intra-camera and inter-camera computations, respectively. The intra-camera computation directly leverages the CNN features for similarity computation within each camera. Pseudo-labels generated on different cameras train the re-id model in a multi-branch network. The second stage considers the classification scores of each sample on different cameras as a new feature vector. This new feature effectively alleviates the distribution discrepancy among cameras and generates more reliable pseudo-labels. We hence train our re-id model in two stages with intra-camera and inter-camera pseudo-labels, respectively. This simple intra-inter camera similarity produces surprisingly good performance on multiple datasets, e.g., achieves rank-1 accuracy of 89.5% on the Market1501 dataset, outperforming the recent unsupervised works by 9+%, and is comparable with the latest transfer learning works that leverage extra annotations.
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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 | SYSU-30k | IICS (generalization) | Rank-1 | 36.0 | #1 of 10 | Archive leaderboard | report |
| Unsupervised Person Re-Identification | DukeMTMCreID | IICS | Rank-1 | 80.0 | #1 of 2 | Archive leaderboard | report |
| Unsupervised Person Re-Identification | Market-1501 | IICS | MAP | 72.9 | #16 of 23 | Archive leaderboard | report |
| Unsupervised Person Re-Identification | Market-1501 | IICS | Rank-1 | 89.5 | #16 of 23 | Archive leaderboard | report |
| Unsupervised Person Re-Identification | Market-1501 | IICS | Rank-10 | 97.0 | #16 of 23 | Archive leaderboard | report |
| Unsupervised Person Re-Identification | Market-1501 | IICS | Rank-5 | 95.2 | #16 of 23 | 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.
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