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 | AlignedReID (RK) | Rank-1 | 97.8 | — | Unverified |
| 2 | Deep Constrained Dominant Sets | Rank-1 | 95.8 | — | Unverified |
| 3 | Proposed SGGNN | MAP | 94.3 | — | Unverified |
| 4 | ProNet++ (ResNet50+RK) | MAP | 91.9 | — | Unverified |
| 5 | FD-GAN | MAP | 91.3 | — | Unverified |
| 6 | TriNet | Rank-1 | 89.63 | — | Unverified |
| 7 | VI+LSRO 3 | MAP | 87.4 | — | Unverified |
| 8 | DLCE | MAP | 86.4 | — | Unverified |
| 9 | UniHCP (finetune) | MAP | 83.1 | — | Unverified |
| 10 | ProNet++ | MAP | 82.7 | — | Unverified |