Multi-class Classification on ISIC 2018 (test)
74.74SensitivityHiFuse_Base
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HiFuse_BaseParams(M)=127.80, Flops(G)=10.972022.09 | 74.74 | — | 75.32 | 84.12 | 76.52 | |
| HiFuse_SmallParams(M)=93.82, Flops(G)=8.842022.09 | 73.14 | — | 72.7 | 83.59 | 72.7 | |
| HiFuse_TinyParams(M)=82.49, Flops(G)=8.132022.09 | 72.87 | — | 72.99 | 82.99 | 73.67 | |
| S2MTS2Percentage of labelled training samples=20%2021.03 | 72.14 | 94.71 | 62.67 | — | — | |
| Conformer-base-p16Params(M)=83.29, Flops(G)=22.892022.09 | 71.66 | — | 72.44 | 82.66 | 73.31 | |
| SRC-MTPercentage of labelled training samples=20%2021.03 | 71.47 | 93.58 | 60.68 | — | — | |
| MTPercentage of labelled training samples=20%2021.03 | 69.75 | 92.96 | 59.1 | — | — | |
| SupervisedPercentage of labelled training samples=20%2021.03 | 65.5 | 90.15 | 52.03 | — | — | |
| Swin-BParams(M)=87.77, Flops(G)=15.142022.09 | 63.65 | — | 63.95 | 79.79 | 65.09 | |
| VGG-19Params(M)=143.68, Flops(G)=19.672022.09 | 60.89 | — | 61.83 | 79.25 | 63.71 | |
| VIT-B/16Params(M)=86.86, Flops(G)=33.032022.09 | 60.52 | — | 60.93 | 78.32 | 64.16 | |
| Mixer-L/16Params(M)=208.20, Flops(G)=44.572022.09 | 59.16 | — | 59.88 | 78.92 | 61.36 | |
| VIT-B/32Params(M)=88.30, Flops(G)=8.562022.09 | 56.9 | — | 57.52 | 77.92 | 58.74 | |
| T2T-ViT_t-24Params(M)=64.00, Flops(G)=12.692022.09 | 55.94 | — | 57.21 | 77.59 | 59.6 | |
| ConvNeXt-BParams(M)=88.59, Flops(G)=15.362022.09 | 50.52 | — | 50.94 | 76.52 | 66.84 | |
| DeiT-baseParams(M)=86.57, Flops(G)=16.862022.09 | 44.09 | — | 41.01 | 72.31 | 47.19 |