Person Re-Identification
Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
Papers
Showing 1–10 of 1488 papers
All datasetsMarket-1501DukeMTMC-reIDMSMT17Occluded-DukeMTMCMarket-1501-CCUHK03 detectedCUHK03 labeledMARSCUHK03LTCCPRCCPRID2011
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | TransReID-SSL (without RK) | Rank-1 | 89.6 | — | Unverified |
| 2 | CLIP-ReID (with re-ranking) | mAP | 86.7 | — | Unverified |
| 3 | SOLIDER (with re-ranking) | mAP | 86.5 | — | Unverified |
| 4 | FlipReID (with re-ranking) | mAP | 81.3 | — | Unverified |
| 5 | ProNet++ (ResNet50+RK) | mAP | 80 | — | Unverified |
| 6 | LDS (ResNet50+RK) | mAP | 79.09 | — | Unverified |
| 7 | SOLIDER (without re-ranking) | mAP | 77.1 | — | Unverified |
| 8 | Adaptive L2 Regularization (with re-ranking) | mAP | 76.7 | — | Unverified |
| 9 | PCL-CLIP (L_pcl+L_id) | mAP | 76.1 | — | Unverified |
| 10 | CLIP-ReID (without re-ranking) | mAP | 75.8 | — | Unverified |