Fine-grained Classification on Flower102
98.9Top-1 AccAssemble-ResNet-FGVC-50
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Assemble-ResNet-FGVC-50Model=Assemble-ResNet-FGVC-502020.01 | 98.9 | — | |
| EfficientNet B7Model=EfficientNet B72020.01 | 98.8 | — | |
| HPTBackbone=ViT-B/162023.12 | 98.17 | 87.16 | |
| ResNet-50Model=ResNet-502020.01 | 96.1 | — | |
| MaPLeBackbone=ViT-B/162023.12 | 95.92 | 82.56 | |
| CoCoOpBackbone=ViT-B/162023.12 | 94.87 | 81.71 | |
| CLIPBackbone=ViT-B/162023.12 | 72.08 | 74.83 | |
| CoCoOpPre-trained on ImageNet=true2024.10 | 70.9 | — | |
| TPTPre-trained on ImageNet=false2024.10 | 69 | — | |
| CoOpPre-trained on ImageNet=true2024.10 | 68.7 | — | |
| CLIP-VIT-B/16Pre-trained on ImageNet=false2024.10 | 67.4 | — | |
| EnsemblePre-trained on ImageNet=false2024.10 | 67 | — | |
| APMPre-trained on ImageNet=false2024.10 | 62 | — |