Vehicle Re-identification on VeRi-Wild (test5000)
89.92Rank-1 AccuracyGiT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GiTArchitecture Category=Proposed2021.07 | 89.92 | 75.64 | |
| PCRNetArchitecture Category=Global + Local, Backbone Type=CNN & GN2021.07 | 89.6 | 75.3 | |
| HPGN2020.05 | 88.21 | 75.17 | |
| HPGNArchitecture Category=Global + Local, Backbone Type=CNN & GN2021.07 | 88.21 | 75.17 | |
| ViTArchitecture Category=Transformer2021.07 | 86.18 | 72.73 | |
| UMTSArchitecture Category=Global + Local, Backbone Type=Pure CNN2021.07 | 79.3 | 66.1 | |
| Triplet Embedding2020.05 | 78.22 | 62.83 | |
| DFLNetArchitecture Category=Global + Local, Backbone Type=Pure CNN2021.07 | 70.67 | 60.07 | |
| AAVERArchitecture Category=Global + Local, Backbone Type=Pure CNN2021.07 | 68.24 | 53.66 | |
| FDA-Net2020.05 | 57.82 | 29.8 | |
| FDA-NetArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 57.82 | 29.8 | |
| GoogLeNet2020.05 | 53.16 | 24.15 | |
| GoogLeNetArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 53.16 | 24.15 | |
| GSTE2020.05 | 52.12 | 26.18 | |
| GSTEArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 52.12 | 26.18 | |
| DRDL2020.05 | 51.92 | 19.28 | |
| DRDLArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 51.92 | 19.28 | |
| Unlabled GAN2020.05 | 51.58 | 24.71 | |
| HDC2020.05 | 49.64 | 24.76 | |
| HDCArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 49.64 | 24.76 | |
| Softmax2020.05 | 46.16 | 22.66 | |
| SoftmaxArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 46.16 | 22.66 | |
| Triplet2020.05 | 40.34 | 13.34 | |
| TripletArchitecture Category=Global, Backbone Type=Pure CNN2021.07 | 40.34 | 13.34 |