Vehicle Re-Identification
Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.
( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )
Papers
Showing 1–10 of 150 papers
All datasetsVeRi-776VehicleID SmallVehicleID LargeVehicleID MediumVRAI test-devVeRi-Wild SmallVRAI testVeRiVeRi-Wild LargeCityFlowVehicleIDVeRi-Wild Medium
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Recall@k Surrogate loss (ViT-B/16) | Rank-1 | 96.2 | — | Unverified |
| 2 | Recall@k Surrogate loss (ResNet-50) | Rank-1 | 95.7 | — | Unverified |
| 3 | PNP Loss | Rank-1 | 95.5 | — | Unverified |
| 4 | RPTM | Rank-1 | 95.5 | — | Unverified |
| 5 | Smooth-AP | Rank-1 | 94.9 | — | Unverified |
| 6 | MBR-4B (without RK) | Rank-1 | 88.3 | — | Unverified |
| 7 | ANet | Rank-1 | 87.9 | — | Unverified |
| 8 | CLIP-ReID (without re-ranking) | Rank-1 | 85.5 | — | Unverified |
| 9 | GiT | Rank1 | 84.65 | — | Unverified |
| 10 | HPGN | Rank1 | 83.91 | — | Unverified |