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 | 96.6 | — | Unverified |
| 2 | FGReID | Rank-1 | 96.1 | — | Unverified |
| 3 | AGRL | Rank-1 | 93.1 | — | Unverified |
| 4 | Snippet (Supervised) | Rank-1 | 93 | — | Unverified |
| 5 | uPMnet | Rank-1 | 92 | — | Unverified |
| 6 | DAL | Rank-1 | 85.3 | — | Unverified |
| 7 | SMP* | Rank-1 | 80.9 | — | Unverified |
| 8 | DGM+MLAPG+ | Rank-1 | 73.1 | — | Unverified |
| 9 | DGM+IDE+ | Rank-1 | 56.4 | — | Unverified |
| 10 | UTAL | Rank-1 | 54.7 | — | Unverified |