Image Classification on 11 Biomedical Datasets Novel
76.29AccuracyBiomedCoOp
Evaluation results
| Method | Links | |
|---|---|---|
| BiomedCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 76.29 | |
| MVSLBackbone=ViT-B/16, Training Epochs=502026.04 | 74.58 | |
| PromptSRCBackbone=ViT-B/16, Training Epochs=502026.04 | 70.99 | |
| CoCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 67.03 | |
| ProGradBackbone=ViT-B/16, Training Epochs=502026.04 | 66.93 | |
| CoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 64.75 | |
| KgCoOpBackbone=ViT-B/16, Training Epochs=502026.04 | 64.08 |