Image Classification on ISIC 2020
95AccuracyMSA-DCNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MSA-DCNNFLOPs=11.07, Params=5.252026.07 | 95 | — | 97 | 94 | |
| Inception-v3FLOPs=16.60, Params=23.92026.07 | 94 | — | 95 | 93 | |
| DGConvFLOPs=9.36, Params=7.982026.07 | 94 | — | 96 | 94 | |
| DINOv2-SFLOPs=19.04, Params=21.32026.07 | 93 | — | 94 | 91 | |
| TS-MSFLOPs=12.10, Params=8.42026.07 | 93 | — | 95 | 92 | |
| EfficientNet-B3FLOPs=10.98, Params=12.02026.07 | 92 | — | 93 | 91 | |
| DeiT-SFLOPs=13.40, Params=22.12026.07 | 91 | — | 92 | 89 | |
| BioTuneBackbone=ResNet-502026.01 | 82.9 | 5.1 | — | — | |
| LoRABackbone=ResNet-502026.01 | 80.91 | — | — | — | |
| L1-SPBackbone=ResNet-502026.01 | 80.62 | — | — | — | |
| L2-SPBackbone=ResNet-502026.01 | 79.77 | — | — | — | |
| AutoRGNBackbone=ResNet-502026.01 | 79.48 | — | — | — | |
| FTBackbone=ResNet-502026.01 | 78.91 | — | — | — | |
| LPBackbone=ResNet-502026.01 | 77.49 | — | — | — | |
| G-LFBackbone=ResNet-502026.01 | 77.49 | — | — | — | |
| G-FLBackbone=ResNet-502026.01 | 76.92 | — | — | — |