Base-to-novel generalization on Oxford Flowers
98.29Base Accuracy2SFSLayerNorm
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| 2SFSLayerNormBackbone=ViT-B/16, Shots=162025.03 | 98.29 | 76.17 | 85.83 | |
| 2SFSLoRABackbone=ViT-B/16, Shots=162025.03 | 98.04 | 70.95 | 82.32 | |
| 2SFSBackbone=ViT-L/14, Shots=42025.03 | 97.94 | 81.77 | 89.13 | |
| CLIP-LoRABackbone=ViT-B/16, Shots=162025.03 | 97.91 | 68.61 | 80.68 | |
| MMABackbone=ViT-B/16, Shots=162025.03 | 97.77 | 75.93 | 85.48 | |
| CoOPBackbone=ViT-B/16, Shots=162025.03 | 97.6 | 59.67 | 74.06 | |
| MaPLeBackbone=ViT-B/16, Shots=162025.03 | 95.92 | 72.46 | 82.56 | |
| ProGradBackbone=ViT-B/16, Shots=162025.03 | 95.54 | 71.87 | 82.03 | |
| KgCoOpBackbone=ViT-B/16, Shots=162025.03 | 95 | 74.73 | 83.65 | |
| CoCoOpBackbone=ViT-B/16, Shots=162025.03 | 94.87 | 71.75 | 81.71 | |
| MMABackbone=ViT-L/14, Shots=42025.03 | 92.93 | 81.87 | 87.05 | |
| CLIPBackbone=ViT-L/14, Shots=42025.03 | 80.34 | 83.05 | 81.67 | |
| CLIPBackbone=ViT-B/16, Shots=02025.03 | 72.08 | 77.8 | 74.83 |