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 | B-BOT + Attention and CL loss | Rank-1 | 88.6 | — | Unverified |
| 2 | B-BOT + OSM + CL Centers* (Re-rank) | mAP | 88.5 | — | Unverified |
| 3 | DenseIL | mAP | 87 | — | Unverified |
| 4 | PiT | mAP | 86.8 | — | Unverified |
| 5 | FGReID | mAP | 86.2 | — | Unverified |
| 6 | STRF | mAP | 86.1 | — | Unverified |
| 7 | PSTA | mAP | 85.8 | — | Unverified |
| 8 | mgh | mAP | 85.8 | — | Unverified |
| 9 | STMN | mAP | 84.5 | — | Unverified |
| 10 | VKD (ResVKD-50bam) | mAP | 83.1 | — | Unverified |