Medical Image Classification on Kvasir (test)
85AccuracyHiFuse_Small
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| HiFuse_SmallModel Size=Small2022.09 | 85 | 84.96 | 85.08 | 85 | |
| HiFuse_TinyModel Size=Tiny2022.09 | 84.85 | 84.89 | 84.96 | 84.9 | |
| HiFuse_BaseModel Size=Base2022.09 | 84.35 | 84.41 | 84.5 | 84.48 | |
| Conformer-base-p16Backbone=Conformer-Base, Patch Size=162022.09 | 84.25 | 84.27 | 84.45 | 84.37 | |
| VGG-19Backbone=VGG-192022.09 | 77.75 | 77.75 | 77.86 | 77.83 | |
| Swin-BBackbone=Swin-Base2022.09 | 77.3 | 77.29 | 77.74 | 77.44 | |
| T2T-ViT_t-24Backbone=T2T-ViT, Depth=242022.09 | 76.9 | 76.78 | 77.6 | 76.91 | |
| VIT-B/16Backbone=ViT-Base, Patch Size=162022.09 | 76.1 | 75.94 | 76.49 | 76.23 | |
| ConvNeXt-BBackbone=ConvNeXt-B2022.09 | 74.6 | 74.61 | 74.78 | 74.64 | |
| Mixer-L/16Backbone=MLP-Mixer-Large, Patch Size=162022.09 | 74.3 | 74.14 | 74.43 | 74.34 | |
| VIT-B/32Backbone=ViT-Base, Patch Size=322022.09 | 73.8 | 73.5 | 74.24 | 73.72 | |
| DeiT-baseBackbone=DeiT-base2022.09 | 52.15 | 48.48 | 56.72 | 52.29 |