Image Classification on 11 Biomedical Datasets (Base classes)
80.05AccuracyMVSL
Evaluation results
| Method | Links | |
|---|---|---|
| MVSLBackbone=ViT-B/16, Training Epochs=502026.04 | 80.05 | |
| BiomedCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 76.29 | |
| CoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 73.85 | |
| CoCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 72.26 | |
| ProGradBackbone=ViT-B/16, Training Epochs=502026.04 | 71.67 | |
| PromptSRCBackbone=ViT-B/16, Training Epochs=502026.04 | 69.01 | |
| KgCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 68.36 |