Intra-class Fine-grained Recognition on BREEDS
70.72Accuracy (Living17)Fine upper-bound
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fine upper-boundBackbone=ResNet-50, Shots=1-shot2023.11 | 70.72 | 74.02 | 72.24 | 73.86 | |
| PE-HCMBackbone=ResNet-50, Shots=1-shot2023.11 | 57.11 | 58.63 | 44.85 | 51.24 | |
| SCGM-ABackbone=ResNet-50, Shots=1-shot2023.11 | 53.88 | 55.12 | 45.09 | 50.02 | |
| SCGM-GBackbone=ResNet-50, Shots=1-shot2023.11 | 53.48 | 57.32 | 43.89 | 46.8 | |
| ANCOR-fcBackbone=ResNet-50, Shots=1-shot2023.11 | 51.07 | 53.51 | 41.83 | 47.82 | |
| ANCORBackbone=ResNet-50, Shots=1-shot2023.11 | 48.77 | 49.64 | 42 | 45.17 |