Vehicle Re-identification on VeRi (test)
1.872FET (ms/img)VGG-CNN-M-1024
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| VGG-CNN-M-1024Hardware Mode=GPU2018.11 | 1.872 | — | — | |
| H-DLFHardware Mode=GPU2018.11 | 2.296 | — | — | |
| A-DLFHardware Mode=GPU2018.11 | 2.304 | — | — | |
| V-DLFHardware Mode=GPU2018.11 | 2.312 | — | — | |
| D-DLFHardware Mode=GPU2018.11 | 2.321 | — | — | |
| GoogLeNetHardware Mode=GPU2018.11 | 2.345 | — | — | |
| QD-DLFHardware Mode=GPU2018.11 | 11.199 | — | — | |
| DenseNet121Hardware Mode=GPU2018.11 | 13.647 | — | — | |
| AdaSPBackbone=ResNet-502023.03 | — | 82.7 | 96.7 | |
| HRCBackbone=ResNet-50, reproduced_under_same_epochs=true2023.03 | — | 81.9 | 96.8 | |
| PARTBackbone=ResNet-502023.03 | — | 74.3 | 94.3 | |
| SEVERBackbone=ResNet-502023.03 | — | 79.6 | 96.4 | |
| SGFDBackbone=ResNet-502023.03 | — | 81 | 96.7 | |
| UFDNBackbone=ResNet-502023.03 | — | 81.5 | 96.4 | |
| VANetBackbone=ResNet-502023.03 | — | 66.3 | 89.8 |