Fine-Grained Vehicle Recognition on CompCars
99.1AccuracyPMAL
Evaluation Results
| Method | Links | |
|---|---|---|
| PMALBackbone=Resnet502024.01 | 99.1 | |
| PMALBackbone=TResnet-L2024.01 | 99 | |
| PMDBackbone=Resnet502024.01 | 99 | |
| PMDBackbone=TResnet-L2024.01 | 98.9 | |
| Desnet264-GTCBackbone=Desnet2642024.01 | 98.5 | |
| Resnet101-GTCBackbone=Resnet1012024.01 | 98.3 | |
| Resnet50-LRAUBackbone=Resnet502024.01 | 98.3 | |
| VGG16-LRAUBackbone=VGG162024.01 | 98.3 | |
| Densenet161-CMPBackbone=Densenet1612024.01 | 97.9 | |
| Resnet152-CMPBackbone=Resnet1522024.01 | 97 | |
| Fine-Tuning DARTSBackbone=NAS-Model2024.01 | 95.9 |