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 | CIL (ResNet-50) | Rank-1 | 55.57 | — | Unverified |
| 2 | TransReID | Rank-1 | 53.19 | — | Unverified |
| 3 | CaceNet | Rank-1 | 42.92 | — | Unverified |
| 4 | PLR-OS | Rank-1 | 37.56 | — | Unverified |
| 5 | RRID | Rank-1 | 36.57 | — | Unverified |
| 6 | Pyramid | Rank-1 | 35.72 | — | Unverified |
| 7 | PCB | Rank-1 | 34.93 | — | Unverified |
| 8 | SBS (ResNet-50) | Rank-1 | 34.13 | — | Unverified |
| 9 | BDB | Rank-1 | 33.79 | — | Unverified |
| 10 | MHN | Rank-1 | 33.29 | — | Unverified |