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 | CAL+GEFF+DLCR | mAP | 66 | — | Unverified |
| 2 | AIM+GEFF | mAP | 64.7 | — | Unverified |
| 3 | CAL+GEFF | mAP | 64 | — | Unverified |
| 4 | RLQ(CAP + TAD) | mAP | 63.2 | — | Unverified |
| 5 | FIRe2 | mAP | 63.1 | — | Unverified |
| 6 | CSSC | mAP | 63 | — | Unverified |
| 7 | CAL+DLCR | mAP | 63 | — | Unverified |
| 8 | CSCI | mAP | 62.3 | — | Unverified |
| 9 | TransReid+CCUP | mAP | 59 | — | Unverified |
| 10 | CAL | mAP | 55.8 | — | Unverified |