Image Classification on Flowers101
73.18AccuracyVaMP
Evaluation results
| Method | Links | |
|---|---|---|
| VaMPCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 73.18 | |
| MAIL++Backbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 72.87 | |
| MMRLCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 72.77 | |
| MMRLBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 72.77 | |
| DeKgBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 72.39 | |
| MaPLeCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 72.23 | |
| MaPLeBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 72.23 | |
| MMACross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 72.07 | |
| MMABackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 72.07 | |
| CoOpOpCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 71.88 | |
| CoOpOpBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 71.88 | |
| MAILBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 71.47 | |
| BIP-DBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 71.43 | |
| TCPCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 71.21 | |
| TCPBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 71.21 | |
| PromptSRCCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 70.25 | |
| PromptSRCBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 70.25 | |
| CoOpCross-dataset evaluation protocol=true, Zero-shot transfer=true2025.11 | 68.71 | |
| CoOpBackbone=ViT-B/16, Training Shots=16-shot, Training Source=ImageNet2026.05 | 68.71 |