Semantic Segmentation on ISIC 2018 (test)
92.05DSCCLIPSeg DA
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CLIPSeg DATraining Strategy=Adapter fine-tuning, Trainable Parameters=3M2024.05 | 92.05 | — | — | — | — | — | 85.98 | 54.38 | |
| CLIPSegTraining Strategy=E2E fine-tuning, Trainable Parameters=150M2024.05 | 91.88 | — | — | — | — | — | 85.76 | 60.93 | |
| CRISTraining Strategy=E2E fine-tuning, Trainable Parameters=147M2024.05 | 91.49 | — | — | — | — | — | 85.41 | 64.39 | |
| CLIPSeg SATraining Strategy=Adapter fine-tuning, Trainable Parameters=4.2M2024.05 | 91.4 | — | — | — | — | — | 85.05 | 60.29 | |
| SANTraining Strategy=Adapter fine-tuning, Trainable Parameters=8.4M2024.05 | 90.39 | — | — | — | — | — | 83.61 | 87.25 | |
| Attn U-Net + Multi-Input + FTLParameters=α = 0.7, β = 0.3, γ = 4/3, Loss Function=Focal Tversky Loss, Architecture=Input Pyramid2018.10 | 85.6 | 85.8 | 89.7 | — | — | — | — | — | |
| BCDU-Netd=32019.08 | 85.1 | — | 78.5 | 98.2 | 93.7 | 0.928 | 93.7 | — | |
| BCDU-Netd=12019.08 | 84.7 | — | 78.3 | 98 | 93.6 | 0.922 | 93.6 | — | |
| Attn U-Net + Multi-Input + TLParameters=α = 0.7, β = 0.3, Loss Function=Tversky Loss, Architecture=Input Pyramid2018.10 | 84.1 | 82.3 | 91.2 | — | — | — | — | — | |
| U-Net + TLParameters=α = 0.7, β = 0.3, Loss Function=Tversky Loss2018.10 | 83.8 | 82.2 | 91.7 | — | — | — | — | — | |
| U-Net + FTLParameters=α = 0.7, β = 0.3, γ = 4/3, Loss Function=Focal Tversky Loss2018.10 | 82.9 | 79.7 | 92.6 | — | — | — | — | — | |
| Attn U-Net + Multi-Input + DLParameters=α = 0.5, β = 0.5, Loss Function=Dice Loss, Architecture=Input Pyramid2018.10 | 82.7 | 89.6 | 82.9 | — | — | — | — | — | |
| U-Net + DLParameters=α = 0.5, β = 0.5, Loss Function=Dice Loss2018.10 | 82 | 84.9 | 86.7 | — | — | — | — | — | |
| Attn U-Net + DLParameters=α = 0.5, β = 0.5, Loss Function=Dice Loss2018.10 | 80.6 | 87.4 | 82.7 | — | — | — | — | — | |
| Attention R2U-Net2019.08 | 69.1 | — | 72.6 | 97.1 | 90.4 | 0.822 | 59.2 | — | |
| R2U-net2019.08 | 67.9 | — | 79.2 | 92.8 | 88 | 0.741 | 58.1 | — | |
| Attention U-net2019.08 | 66.5 | — | 71.7 | 96.7 | 89.7 | 0.787 | 56.6 | — | |
| U-net2019.08 | 64.7 | — | 70.8 | 96.4 | 89 | 0.779 | 54.9 | — |