Dichotomous Image Segmentation on DIS5K (val)
0.896Fw_betaBEN_Base+Refiner
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| BEN_Base+RefinerRefinement=Active2025.01 | 0.896 | — | 0.027 | 0.917 | 0.959 | — | — | — | 0.919 | — | |
| BiRefNetResolution=1024x10242024.01 | 0.891 | 0.854 | 0.038 | 0.898 | 0.931 | 989 | — | — | — | — | |
| DiffDIS2025.01 | 0.888 | — | 0.029 | 0.904 | 0.948 | — | — | — | 0.918 | — | |
| BiRefNet-SwinBBackbone=Swin-B, Resolution=1024x10242024.01 | 0.881 | 0.844 | 0.039 | 0.89 | 0.925 | 1,029 | — | — | — | — | |
| BEN_BaseRefinement=None2025.01 | 0.871 | — | 0.031 | 0.916 | 0.935 | — | — | — | 0.923 | — | |
| BiRefNet-PVTv2-B2Backbone=PVT-v2-B2, Resolution=1024x10242024.01 | 0.868 | 0.827 | 0.044 | 0.88 | 0.919 | 1,073 | — | — | — | — | |
| BiRefNet2025.01 | 0.863 | — | 0.036 | 0.905 | 0.937 | — | — | — | 0.897 | — | |
| BiRefNet-SwinTBackbone=Swin-T, Resolution=1024x10242024.01 | 0.862 | 0.819 | 0.045 | 0.874 | 0.917 | 1,070 | — | — | — | — | |
| MVANet2025.01 | 0.856 | — | 0.036 | 0.905 | 0.938 | — | — | — | 0.913 | — | |
| InSPyReNet2025.01 | 0.834 | — | 0.042 | 0.9 | 0.914 | — | — | — | 0.889 | — | |
| GenPercept2025.01 | 0.824 | — | 0.044 | 0.863 | 0.924 | — | — | — | 0.844 | — | |
| FP-DISResolution=1024x10242024.01 | 0.823 | 0.763 | 0.062 | 0.843 | 0.891 | 1,309 | — | — | — | — | |
| UDUNResolution=1024x10242024.01 | 0.823 | 0.763 | 0.059 | 0.838 | 0.892 | 1,097 | — | — | — | — | |
| PGNetResolution=1024x10242024.01 | 0.798 | 0.733 | 0.067 | 0.824 | 0.879 | 1,326 | — | — | — | — | |
| IS-NetResolution=1024x10242024.01 | 0.791 | 0.717 | 0.074 | 0.813 | 0.856 | 1,116 | — | — | — | — | |
| U2NetResolution=1024x10242024.01 | 0.753 | 0.656 | 0.089 | 0.785 | 0.809 | 1,139 | — | — | — | — | |
| BASNetResolution=1024x10242024.01 | 0.737 | 0.656 | 0.094 | 0.781 | 0.809 | 1,132 | — | — | — | — | |
| HRNetResolution=1024x10242024.01 | 0.726 | 0.641 | 0.095 | 0.767 | 0.824 | 1,560 | — | — | — | — | |
| HRNetRefinement=None2023.12 | — | — | — | — | — | — | 0.6102 | 0.6894 | — | — | |
| ICNetRefinement=None2023.12 | — | — | — | — | — | — | 0.5647 | 0.6647 | — | — | |
| IS-NetResolution=1024 x 10242026.05 | — | — | — | — | — | — | — | — | — | 0.791 | |
| ISNetRefinement=None2023.12 | — | — | — | — | — | — | 0.671 | 0.7413 | — | — | |
| PFNetRefinement=None2023.12 | — | — | — | — | — | — | 0.562 | 0.6369 | — | — | |
| PSPNetRefinement=None2023.12 | — | — | — | — | — | — | 0.5641 | 0.6278 | — | — | |
| SegRefiner + HRNetRefinement=SegRefiner, Base Model=HRNet2023.12 | — | — | — | — | — | — | 0.6443 | 0.7662 | — | — | |
| SegRefiner + ICNetRefinement=SegRefiner, Base Model=ICNet2023.12 | — | — | — | — | — | — | 0.6138 | 0.7555 | — | — | |
| SegRefiner + ISNetRefinement=SegRefiner, Base Model=ISNet2023.12 | — | — | — | — | — | — | 0.6827 | 0.7664 | — | — | |
| SegRefiner + PFNetRefinement=SegRefiner, Base Model=PFNet2023.12 | — | — | — | — | — | — | 0.6044 | 0.7483 | — | — | |
| SegRefiner + PSPNetRefinement=SegRefiner, Base Model=PSPNet2023.12 | — | — | — | — | — | — | 0.6041 | 0.7484 | — | — | |
| SegRefiner + U-NetRefinement=SegRefiner, Base Model=U-Net2023.12 | — | — | — | — | — | — | 0.5873 | 0.7544 | — | — | |
| U-NetRefinement=None2023.12 | — | — | — | — | — | — | 0.5477 | 0.6984 | — | — | |
| U2-NetResolution=1024 x 10242026.05 | — | — | — | — | — | — | — | — | — | 0.753 | |
| U2-Net + DDAResolution=1024 x 1024, Loss Function=DDA2026.05 | — | — | — | — | — | — | — | — | — | 0.853 | |
| UDUNResolution=1024 x 10242026.05 | — | — | — | — | — | — | — | — | — | 0.823 |