Salient Object Detection on ECSSD (test)
92.7S-measure (Sa)GCPANet
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| GCPANetInput=RGB2020.05 | 92.7 | 94.8 | 91.9 | 0.035 | — | — | — | — | — | — | |
| DSANetInput=RGB2020.05 | 92.7 | 95 | 93.2 | 0.032 | — | — | — | — | — | — | |
| BANetInput=RGB2020.05 | 92.4 | 93.9 | 91.7 | 0.041 | — | — | — | — | — | — | |
| F3NetInput=RGB2020.05 | 92.4 | 94.5 | 92.5 | 0.033 | — | — | — | — | — | — | |
| PoolNetInput=RGB2020.05 | 92.1 | 94.4 | 91.5 | 0.039 | — | — | — | — | — | — | |
| PICA-RInput=RGB2020.05 | 91.8 | 93.5 | 90.1 | 0.047 | — | — | — | — | — | — | |
| CPD-RInput=RGB2020.05 | 91.8 | 93.9 | 91.7 | 0.037 | — | — | — | — | — | — | |
| BASNetInput=RGB2020.05 | 91.6 | 94.3 | 88 | 0.037 | — | — | — | — | — | — | |
| BMPMInput=RGB2020.05 | 91.1 | 92.9 | 89.4 | 0.045 | — | — | — | — | — | — | |
| R3NetInput=RGB2020.05 | 91 | 92.9 | 88.3 | 0.051 | — | — | — | — | — | — | |
| PAGRInput=RGB2020.05 | 88.9 | 92.7 | 89.4 | 0.061 | — | — | — | — | — | — | |
| InSPyReNetBackbone=SwinB2022.09 | 0.949 | 0.96 | — | 0.023 | — | — | — | — | — | — | |
| M3Net-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 0.948 | — | — | 0.021 | 0.947 | 0.974 | — | — | — | — | |
| EVPv2Backbone=ViT-SAM2023.05 | 0.944 | — | 0.967 | 0.022 | — | 0.964 | — | — | — | — | |
| Mao et al.Backbone=SwinB2022.09 | 0.943 | 0.956 | — | 0.022 | — | — | — | — | — | — | |
| PA-KRNBackbone=SwinB, Re-implementation=true2022.09 | 0.941 | 0.956 | — | 0.025 | — | — | — | — | — | — | |
| ICON-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 0.941 | — | — | 0.023 | 0.936 | 0.972 | — | — | — | — | |
| BBRF2023.05 | 0.939 | — | 0.963 | 0.022 | — | 0.934 | — | — | — | — | |
| BBRFArchitecture=Transformer2023.09 | 0.939 | — | — | 0.022 | 0.944 | 0.972 | — | — | — | — | |
| TE5#Params=31.3M, GFLOPS=11.522021.12 | 0.937 | 0.96 | — | 0.024 | — | — | — | 0.938 | — | — | |
| TE6#Params=43.47M, GFLOPS=14.842021.12 | 0.937 | 0.963 | — | 0.025 | — | — | — | 0.941 | — | — | |
| Chen et al.Backbone=SwinB, Re-implementation=true2022.09 | 0.937 | 0.948 | — | 0.03 | — | — | — | — | — | — | |
| F³NetBackbone=SwinB, Re-implementation=true2022.09 | 0.937 | 0.951 | — | 0.027 | — | — | — | — | — | — | |
| EVPv2Backbone=ViT-MAE2023.05 | 0.937 | — | 0.96 | 0.029 | — | 0.954 | — | — | — | — | |
| InSPyReNetBackbone=Res2Net502022.09 | 0.936 | 0.949 | — | 0.031 | — | — | — | — | — | — | |
| Ours2021.12 | 0.935 | — | — | — | 0.935 | 0.962 | 0.026 | — | — | — | |
| TE7#Params=66.27M, GFLOPS=18.862021.12 | 0.935 | 0.961 | — | 0.026 | — | — | — | 0.94 | — | — | |
| SelfReformer-fullTransformer-based=true, Upsampling Strategy=Pixel Shuffle2022.05 | 0.935 | — | — | 0.027 | 0.957 | 0.928 | — | — | — | — | |
| MINetBackbone=SwinB, Re-implementation=true2022.09 | 0.935 | 0.949 | — | 0.028 | — | — | — | — | — | — | |
| SelfReformer2023.05 | 0.935 | — | 0.957 | 0.027 | — | 0.928 | — | — | — | — | |
| EVPv1Backbone=SegFormer2023.05 | 0.935 | — | 0.96 | 0.027 | — | 0.957 | — | — | — | — | |
| EVPv2Backbone=SegFormer2023.05 | 0.935 | — | 0.958 | 0.028 | — | 0.957 | — | — | — | — | |
| VSTArchitecture=Transformer2023.09 | 0.934 | — | — | 0.032 | 0.911 | 0.965 | — | — | — | — | |
| SelfReformer-BITransformer-based=true, Upsampling Strategy=Bilinear Interpolation2022.05 | 0.933 | — | — | 0.029 | 0.953 | 0.926 | — | — | — | — | |
| VST2021.12 | 0.932 | — | — | — | 0.911 | 0.943 | 0.034 | — | — | — | |
| VSTTransformer-based=true2022.05 | 0.932 | — | — | 0.032 | 0.95 | 0.917 | — | — | — | — | |
| VSTBackbone=T2T-ViT-142022.09 | 0.932 | 0.944 | — | 0.033 | — | — | — | — | — | — | |
| VST2023.05 | 0.932 | — | 0.951 | 0.033 | — | 0.918 | — | — | — | — | |
| SRformerArchitecture=Transformer2023.09 | 0.932 | — | — | 0.028 | 0.922 | 0.961 | — | — | — | — | |
| TE4#Params=20.71M, GFLOPS=8.642021.12 | 0.931 | 0.958 | — | 0.027 | — | — | — | 0.936 | — | — | |
| Chen et al.Backbone=Res2Net50, Re-implementation=true2022.09 | 0.931 | 0.943 | — | 0.035 | — | — | — | — | — | — | |
| MINetBackbone=Res2Net50, Re-implementation=true2022.09 | 0.931 | 0.942 | — | 0.031 | — | — | — | — | — | — | |
| LDFBackbone=SwinB, Re-implementation=true2022.09 | 0.931 | 0.942 | — | 0.032 | — | — | — | — | — | — | |
| M3Net-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.931 | — | — | 0.029 | 0.919 | 0.962 | — | — | — | — | |
| PFSNetTransformer-based=false2022.05 | 0.93 | — | — | 0.031 | 0.952 | 0.928 | — | — | — | — | |
| PA-KRNBackbone=Res2Net50, Re-implementation=true2022.09 | 0.93 | 0.943 | — | 0.032 | — | — | — | — | — | — | |
| CSF-R2Architecture=CNN, Backbone=Res2Net502023.09 | 0.93 | — | — | 0.033 | 0.91 | 0.96 | — | — | — | — | |
| PFSNetArchitecture=CNN2023.09 | 0.93 | — | — | 0.031 | 0.92 | 0.958 | — | — | — | — | |
| TE3#Params=14.02M, GFLOPS=6.262021.12 | 0.929 | 0.954 | — | 0.028 | — | — | — | 0.93 | — | — | |
| GateNetBackbone=ResNeXt1012022.09 | 0.929 | 0.94 | — | 0.035 | — | — | — | — | — | — | |
| ICON-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.929 | — | — | 0.032 | 0.918 | 0.96 | — | — | — | — | |
| SCNet2021.12 | 0.928 | — | — | — | 0.93 | 0.955 | 0.03 | — | — | — | |
| DCNTransformer-based=false2022.05 | 0.928 | — | — | 0.031 | 0.952 | 0.929 | — | — | — | — | |
| LDFBackbone=Res2Net50, Re-implementation=true2022.09 | 0.928 | 0.943 | — | 0.033 | — | — | — | — | — | — | |
| SCRN#Params=25.25M, GFLOPS=30.22021.12 | 0.927 | 0.961 | — | 0.037 | — | — | — | 0.916 | — | — | |
| GCPANet#Params=67.06M, GFLOPS=87.982021.12 | 0.927 | 0.954 | — | 0.036 | — | — | — | 0.912 | — | — | |
| U2NetTransformer-based=false2022.05 | 0.927 | — | — | 0.033 | 0.951 | 0.924 | — | — | — | — | |
| PAKRNTransformer-based=false2022.05 | 0.927 | — | — | 0.032 | 0.952 | 0.923 | — | — | — | — | |
| PoolNet#Params=68.21M, GFLOPS=1782021.12 | 0.926 | 0.956 | — | 0.035 | — | — | — | 0.918 | — | — | |
| GCPATransformer-based=false2022.05 | 0.926 | — | — | 0.034 | 0.948 | 0.92 | — | — | — | — | |
| PoolNetBackbone=ResNet502022.09 | 0.926 | 0.937 | — | 0.035 | — | — | — | — | — | — | |
| EVPv2Backbone=ViT-CLS2023.05 | 0.926 | — | 0.951 | 0.035 | — | 0.945 | — | — | — | — | |
| PoolNetArchitecture=CNN2023.09 | 0.926 | — | — | 0.035 | 0.904 | 0.956 | — | — | — | — | |
| MINet#Params=162M, GFLOPS=174.222021.12 | 0.925 | 0.954 | — | 0.034 | — | — | — | 0.919 | — | — | |
| ITSD#Params=26.47M, GFLOPS=31.922021.12 | 0.925 | 0.953 | — | 0.035 | — | — | — | 0.921 | — | — | |
| LDF#Params=25.15M, GFLOPS=31.022021.12 | 0.925 | 0.955 | — | 0.034 | — | — | — | 0.927 | — | — | |
| EGNetArchitecture=CNN2023.09 | 0.925 | — | — | 0.037 | 0.903 | 0.955 | — | — | — | — | |
| ITSD-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.925 | — | — | 0.034 | 0.91 | 0.959 | — | — | — | — | |
| MINet-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.925 | — | — | 0.033 | 0.911 | 0.957 | — | — | — | — | |
| EGNet#Params=112M, GFLOPS=240.32021.12 | 0.924 | 0.957 | — | 0.037 | — | — | — | 0.919 | — | — | |
| F3Net#Params=25.54M, GFLOPS=32.862021.12 | 0.924 | 0.956 | — | 0.033 | — | — | — | 0.925 | — | — | |
| TE2#Params=11.09M, GFLOPS=5.22021.12 | 0.924 | 0.95 | — | 0.031 | — | — | — | 0.927 | — | — | |
| F3NetTransformer-based=false2022.05 | 0.924 | — | — | 0.033 | 0.945 | 0.927 | — | — | — | — | |
| MINetTransformer-based=false2022.05 | 0.924 | — | — | 0.033 | 0.947 | 0.926 | — | — | — | — | |
| LDFTransformer-based=false2022.05 | 0.924 | — | — | 0.033 | 0.95 | 0.924 | — | — | — | — | |
| LDF2023.05 | 0.924 | — | 0.95 | 0.034 | — | 0.925 | — | — | — | — | |
| LDFArchitecture=CNN2023.09 | 0.924 | — | — | 0.034 | 0.915 | 0.954 | — | — | — | — | |
| TE1#Params=9.96M, GFLOPS=4.282021.12 | 0.923 | 0.951 | — | 0.031 | — | — | — | 0.928 | — | — | |
| PoolNet2023.05 | 0.922 | — | 0.944 | 0.039 | — | 0.924 | — | — | — | — | |
| TE0#Params=7.45M, GFLOPS=4.262021.12 | 0.921 | 0.949 | — | 0.031 | — | — | — | 0.923 | — | — | |
| SCRN2021.12 | 0.92 | — | — | — | 0.91 | 0.933 | 0.041 | — | — | — | |
| ITSD2021.12 | 0.92 | — | — | — | 0.916 | 0.943 | 0.037 | — | — | — | |
| GateNet-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.92 | — | — | 0.04 | 0.894 | 0.952 | — | — | — | — | |
| PoolNet2021.12 | 0.919 | — | — | — | 0.913 | 0.938 | 0.038 | — | — | — | |
| F3Net2021.12 | 0.919 | — | — | — | 0.921 | 0.943 | 0.036 | — | — | — | |
| LDF2021.12 | 0.919 | — | — | — | 0.923 | 0.943 | 0.036 | — | — | — | |
| GateNetTransformer-based=false2022.05 | 0.919 | — | — | 0.04 | 0.945 | 0.924 | — | — | — | — | |
| CPD-R#Params=47.85M, GFLOPS=35.542021.12 | 0.918 | 0.945 | — | 0.037 | — | — | — | 0.913 | — | — | |
| EGNetBackbone=ResNet502022.09 | 0.918 | 0.928 | — | 0.041 | — | — | — | — | — | — | |
| CPDBackbone=ResNet502022.09 | 0.918 | 0.926 | — | 0.037 | — | — | — | — | — | — | |
| CPD-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.918 | — | — | 0.037 | 0.898 | 0.951 | — | — | — | — | |
| BASNet#Params=87.06M, GFLOPS=195.022021.12 | 0.916 | 0.944 | — | 0.037 | — | — | — | 0.917 | — | — | |
| BASNetBackbone=ResNet342022.09 | 0.916 | 0.931 | — | 0.037 | — | — | — | — | — | — | |
| PiCANetArchitecture=CNN2023.09 | 0.916 | — | — | 0.035 | 0.908 | 0.953 | — | — | — | — | |
| BASNetArchitecture=CNN2023.09 | 0.916 | — | — | 0.037 | 0.904 | 0.951 | — | — | — | — | |
| F³NetBackbone=Res2Net50, Re-implementation=true2022.09 | 0.915 | 0.925 | — | 0.04 | — | — | — | — | — | — | |
| EGNet2021.12 | 0.914 | — | — | — | 0.906 | 0.933 | 0.043 | — | — | — | |
| MSFNetTransformer-based=false2022.05 | 0.914 | — | — | 0.033 | 0.941 | 0.926 | — | — | — | — | |
| CPD2021.12 | 0.913 | — | — | — | 0.909 | 0.937 | 0.04 | — | — | — | |
| AFNet#Params=34.3M2021.12 | 0.913 | 0.941 | — | 0.042 | — | — | — | 0.905 | — | — |