Salient Object Detection on PASCAL-S (test)
0.047MAETE7
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| TE7#Params=66.27M, GFLOPS=18.862021.12 | 0.047 | 0.909 | 0.874 | 0.882 | — | — | — | — | |
| M3Net-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 0.047 | — | — | — | — | 0.864 | 0.932 | 0.889 | |
| TE5#Params=31.3M, GFLOPS=11.522021.12 | 0.048 | 0.901 | 0.865 | 0.88 | — | — | — | — | |
| InSPyReNetBackbone=SwinB2022.09 | 0.048 | 0.893 | — | — | — | — | — | 0.893 | |
| ICON-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 0.048 | — | — | — | — | 0.854 | 0.93 | 0.885 | |
| TE6#Params=43.47M, GFLOPS=14.842021.12 | 0.049 | 0.908 | 0.87 | 0.881 | — | — | — | — | |
| BBRF2023.05 | 0.049 | — | — | — | — | 0.891 | 0.867 | 0.871 | |
| BBRFArchitecture=Transformer2023.09 | 0.049 | — | — | — | — | 0.856 | 0.927 | 0.878 | |
| Mao et al.Backbone=SwinB2022.09 | 0.05 | 0.883 | — | — | — | — | — | 0.883 | |
| SelfReformer2023.05 | 0.05 | — | — | — | — | 0.894 | 0.872 | 0.874 | |
| SRformerArchitecture=Transformer2023.09 | 0.051 | — | — | — | — | 0.845 | 0.924 | 0.878 | |
| TE4#Params=20.71M, GFLOPS=8.642021.12 | 0.052 | 0.9 | 0.862 | 0.873 | — | — | — | — | |
| TE3#Params=14.02M, GFLOPS=6.262021.12 | 0.053 | 0.9 | 0.86 | 0.87 | — | — | — | — | |
| VAN-B2Backbone=VAN-B22022.02 | 0.053 | 0.897 | — | — | — | — | — | — | |
| EVPv2Backbone=SegFormer2023.05 | 0.053 | — | — | — | — | 0.869 | 0.917 | 0.879 | |
| Ours2021.12 | 0.054 | — | — | — | 0.877 | 0.855 | 0.915 | — | |
| MINetBackbone=SwinB, Re-implementation=true2022.09 | 0.054 | 0.87 | — | — | — | — | — | 0.875 | |
| EVPv1Backbone=SegFormer2023.05 | 0.054 | — | — | — | — | 0.872 | 0.917 | 0.878 | |
| EVPv2Backbone=ViT-MAE2023.05 | 0.054 | — | — | — | — | 0.866 | 0.907 | 0.877 | |
| EVPv2Backbone=ViT-SAM2023.05 | 0.054 | — | — | — | — | 0.868 | 0.912 | 0.877 | |
| TE2#Params=11.09M, GFLOPS=5.22021.12 | 0.055 | 0.894 | 0.855 | 0.866 | — | — | — | — | |
| VAN-B1Backbone=VAN-B12022.02 | 0.055 | 0.893 | — | — | — | — | — | — | |
| TE1#Params=9.96M, GFLOPS=4.282021.12 | 0.056 | 0.893 | 0.855 | 0.865 | — | — | — | — | |
| InSPyReNetBackbone=Res2Net502022.09 | 0.056 | 0.869 | — | — | — | — | — | 0.876 | |
| PA-KRNBackbone=SwinB, Re-implementation=true2022.09 | 0.056 | 0.872 | — | — | — | — | — | 0.873 | |
| SCNet2021.12 | 0.058 | — | — | — | 0.873 | 0.846 | 0.909 | — | |
| Chen et al.Backbone=SwinB, Re-implementation=true2022.09 | 0.058 | 0.868 | — | — | — | — | — | 0.876 | |
| TE0#Params=7.45M, GFLOPS=4.262021.12 | 0.059 | 0.889 | 0.847 | 0.86 | — | — | — | — | |
| LDFBackbone=Res2Net50, Re-implementation=true2022.09 | 0.059 | 0.863 | — | — | — | — | — | 0.868 | |
| F³NetBackbone=SwinB, Re-implementation=true2022.09 | 0.059 | 0.864 | — | — | — | — | — | 0.868 | |
| LDF2023.05 | 0.059 | — | — | — | — | 0.874 | 0.865 | 0.856 | |
| PVT-SBackbone=PVT-S2022.02 | 0.06 | 0.883 | — | — | — | — | — | — | |
| Chen et al.Backbone=Res2Net50, Re-implementation=true2022.09 | 0.06 | 0.862 | — | — | — | — | — | 0.871 | |
| MINetBackbone=Res2Net50, Re-implementation=true2022.09 | 0.06 | 0.858 | — | — | — | — | — | 0.865 | |
| EVPv2Backbone=ViT-CLS2023.05 | 0.06 | — | — | — | — | 0.859 | 0.9 | 0.87 | |
| LDFArchitecture=CNN2023.09 | 0.06 | — | — | — | — | 0.822 | 0.908 | 0.863 | |
| M3Net-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.06 | — | — | — | — | 0.827 | 0.912 | 0.868 | |
| VSTArchitecture=Transformer2023.09 | 0.06 | — | — | — | — | 0.821 | 0.919 | 0.874 | |
| LDF#Params=25.15M, GFLOPS=31.022021.12 | 0.061 | 0.892 | 0.846 | 0.862 | — | — | — | — | |
| VSTBackbone=T2T-ViT-142022.09 | 0.061 | 0.864 | — | — | — | — | — | 0.872 | |
| VST2023.05 | 0.061 | — | — | — | — | 0.875 | 0.837 | 0.865 | |
| F3Net2021.12 | 0.062 | — | — | — | 0.861 | 0.835 | 0.898 | — | |
| F3Net#Params=25.54M, GFLOPS=32.862021.12 | 0.062 | 0.894 | 0.84 | 0.86 | — | — | — | — | |
| SCRN2021.12 | 0.063 | — | — | — | 0.869 | 0.833 | 0.892 | — | |
| LDF2021.12 | 0.063 | — | — | — | 0.86 | 0.856 | 0.901 | — | |
| GCPANet#Params=67.06M, GFLOPS=87.982021.12 | 0.063 | 0.89 | 0.832 | 0.866 | — | — | — | — | |
| PA-KRNBackbone=Res2Net50, Re-implementation=true2022.09 | 0.063 | 0.859 | — | — | — | — | — | 0.863 | |
| PFSNetArchitecture=CNN2023.09 | 0.063 | — | — | — | — | 0.819 | 0.906 | 0.86 | |
| F3NetInput=RGB2020.05 | 0.064 | 0.88 | 0.84 | 0.855 | — | — | — | — | |
| GCPANetInput=RGB2020.05 | 0.064 | 0.876 | 0.836 | 0.861 | — | — | — | — | |
| DSANetInput=RGB2020.05 | 0.064 | 0.885 | 0.849 | 0.86 | — | — | — | — | |
| SCRN#Params=25.25M, GFLOPS=30.22021.12 | 0.064 | 0.902 | 0.838 | 0.868 | — | — | — | — | |
| GateNetBackbone=ResNeXt1012022.09 | 0.064 | 0.855 | — | — | — | — | — | 0.865 | |
| PiCANetArchitecture=CNN2023.09 | 0.064 | — | — | — | — | 0.811 | 0.9 | 0.846 | |
| MINet-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.064 | — | — | — | — | 0.809 | 0.903 | 0.856 | |
| ICON-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.064 | — | — | — | — | 0.818 | 0.908 | 0.861 | |
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 0.065 | 0.88 | — | — | — | — | — | — | |
| PoolNet2021.12 | 0.065 | — | — | — | 0.865 | 0.835 | 0.896 | — | |
| PoolNet#Params=68.21M, GFLOPS=1782021.12 | 0.065 | 0.9 | 0.842 | 0.866 | — | — | — | — | |
| MINet#Params=162M, GFLOPS=174.222021.12 | 0.065 | 0.884 | 0.833 | 0.856 | — | — | — | — | |
| ITSD#Params=26.47M, GFLOPS=31.922021.12 | 0.065 | 0.89 | 0.839 | 0.862 | — | — | — | — | |
| ResNet50Backbone=ResNet502022.02 | 0.065 | 0.864 | — | — | — | — | — | — | |
| PoolNetBackbone=ResNet502022.09 | 0.065 | 0.858 | — | — | — | — | — | 0.865 | |
| F³NetBackbone=Res2Net50, Re-implementation=true2022.09 | 0.065 | 0.842 | — | — | — | — | — | 0.856 | |
| LDFBackbone=SwinB, Re-implementation=true2022.09 | 0.065 | 0.851 | — | — | — | — | — | 0.861 | |
| PoolNetArchitecture=CNN2023.09 | 0.065 | — | — | — | — | 0.809 | 0.907 | 0.865 | |
| ITSD2021.12 | 0.066 | — | — | — | 0.86 | 0.83 | 0.894 | — | |
| ITSD-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.066 | — | — | — | — | 0.812 | 0.908 | 0.859 | |
| VST2021.12 | 0.067 | — | — | — | 0.873 | 0.832 | 0.9 | — | |
| PVT-TBackbone=PVT-T2022.02 | 0.067 | 0.868 | — | — | — | — | — | — | |
| GateNet-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.067 | — | — | — | — | 0.797 | 0.904 | 0.858 | |
| CSF-R2Architecture=CNN, Backbone=Res2Net502023.09 | 0.069 | — | — | — | — | 0.807 | 0.899 | 0.862 | |
| AFNetArchitecture=CNN2023.09 | 0.07 | — | — | — | — | 0.797 | 0.895 | 0.849 | |
| CPD2021.12 | 0.071 | — | — | — | 0.848 | 0.819 | 0.882 | — | |
| AFNet#Params=34.3M2021.12 | 0.071 | 0.884 | 0.83 | 0.849 | — | — | — | — | |
| PAGENet#Params=47.40M, GFLOPS=2042021.12 | 0.071 | 0.884 | 0.83 | 0.849 | — | — | — | — | |
| ResNet18Backbone=ResNet182022.02 | 0.071 | 0.854 | — | — | — | — | — | — | |
| CPDBackbone=ResNet502022.09 | 0.071 | 0.833 | — | — | — | — | — | 0.848 | |
| CPD-RArchitecture=CNN, Backbone=ResNet502023.09 | 0.071 | — | — | — | — | 0.794 | 0.891 | 0.848 | |
| CPD-RBackbone=ResNet50, FPS=622019.04 | 0.072 | 0.864 | 0.824 | — | — | — | — | — | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 0.072 | 0.865 | — | — | — | — | — | — | |
| DGRLBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 0.072 | 0.844 | — | — | — | — | — | — | |
| CPD-RInput=RGB2020.05 | 0.072 | 0.864 | 0.824 | 0.842 | — | — | — | — | |
| CPD-R#Params=47.85M, GFLOPS=35.542021.12 | 0.072 | 0.878 | 0.824 | 0.847 | — | — | — | — | |
| BMPMInput=RGB2020.05 | 0.073 | 0.862 | 0.803 | 0.84 | — | — | — | — | |
| BMPMBackbone=VGG16, FPS=282019.04 | 0.074 | 0.862 | 0.77 | — | — | — | — | — | |
| CPDBackbone=VGG16, FPS=662019.04 | 0.074 | 0.866 | 0.825 | — | — | — | — | — | |
| DGRLBackbone=ResNet50, FPS=62019.04 | 0.074 | 0.853 | 0.807 | — | — | — | — | — | |
| PoolNetInput=RGB2020.05 | 0.074 | 0.869 | 0.822 | 0.845 | — | — | — | — | |
| EGNet2021.12 | 0.074 | — | — | — | 0.852 | 0.823 | 0.881 | — | |
| MLMSNet#Params=72.24M2021.12 | 0.074 | 0.873 | 0.814 | 0.845 | — | — | — | — | |
| PoolNet2023.05 | 0.074 | — | — | — | — | 0.869 | 0.85 | 0.847 | |
| EGNetArchitecture=CNN2023.09 | 0.074 | — | — | — | — | 0.795 | 0.892 | 0.852 | |
| PiCANet-RBackbone=ResNet50, FPS=52019.04 | 0.075 | 0.863 | 0.798 | — | — | — | — | — | |
| PiCANetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 0.075 | 0.864 | — | — | — | — | — | — | |
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 0.075 | 0.863 | — | — | — | — | — | — | |
| EGNet#Params=112M, GFLOPS=240.32021.12 | 0.075 | 0.889 | 0.828 | 0.853 | — | — | — | — | |
| EGNetBackbone=ResNet502022.09 | 0.075 | 0.836 | — | — | — | — | — | 0.848 | |
| PiCANetBackbone=VGG16, FPS=72019.04 | 0.076 | 0.862 | 0.796 | — | — | — | — | — | |
| BASNet2021.12 | 0.076 | — | — | — | 0.838 | 0.818 | 0.879 | — |