Fine-grained Vehicle Recognition on BIT-Vehicle
95.2AccuracyPMAL
Evaluation Results
| Method | Links | |
|---|---|---|
| PMALBackbone=Resnet502024.01 | 95.2 | |
| PMALBackbone=TResnet-L2024.01 | 94.9 | |
| PMDBackbone=Resnet502024.01 | 94.9 | |
| PMDBackbone=TResnet-L2024.01 | 94.7 | |
| Tri-TrainingBackbone=VGG162024.01 | 90.8 | |
| TC-SF-CNNLSBackbone=SF-CNNLS2024.01 | 90.5 | |
| Network MappingBackbone=YOLO-CFNN2024.01 | 90.5 | |
| DFTBackbone=VGG162024.01 | 90.1 | |
| PCN-SoftmaxBackbone=PCN2024.01 | 88.5 | |
| IBSABackbone=IBSA-CNN2024.01 | 87.7 | |
| Fixed Feature ExtractionBackbone=Resnet502024.01 | 87.1 |