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 | KPR + SOLIDER | Rank-1 | 84.31 | — | Unverified |
| 2 | KPR | Rank-1 | 79.83 | — | Unverified |
| 3 | PersonViT | Rank-1 | 79.8 | — | Unverified |
| 4 | DROP | Rank-1 | 76.8 | — | Unverified |
| 5 | BPBreID | Rank-1 | 75.1 | — | Unverified |
| 6 | DDRN | Rank-1 | 71.3 | — | Unverified |
| 7 | SOLIDER | Rank-1 | 71.2 | — | Unverified |
| 8 | DiP (without RK) | Rank-1 | 71.1 | — | Unverified |
| 9 | HCGA | Rank-1 | 70.1 | — | Unverified |
| 10 | DPEFormer | Rank-1 | 69.9 | — | Unverified |