Salient Object Detection on PASCAL-S
0.034MAEKRN
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| KRN2021.10 | 0.034 | 89.8 | — | — | — | — | — | — | — | |
| MINet2021.10 | 0.039 | 87.7 | — | 0.875 | 82.3 | — | — | — | — | |
| CFDN2021.10 | 0.039 | 89.1 | — | 0.894 | 85.2 | — | — | — | — | |
| EGNet2021.10 | 0.043 | 88 | — | 0.866 | — | — | — | — | — | |
| SAM2-UNet2024.08 | 0.043 | — | — | — | — | 0.931 | 0.894 | — | — | |
| Usersal+FPS=39.2, Params=241M2026.04 | 0.045 | 94.1 | — | 0.941 | — | 0.965 | — | — | — | |
| AFNet2021.10 | 0.046 | 86.2 | — | 0.866 | 83.4 | — | — | — | — | |
| BAS2021.10 | 0.047 | 86 | — | — | — | — | — | — | — | |
| UsersalFPS=43.6, Params=238M2026.04 | 0.048 | 93.5 | — | 0.94 | — | 0.963 | — | — | — | |
| BiDir2021.10 | 0.049 | 85.1 | — | 0.861 | 81.4 | — | — | — | — | |
| DifSODFPS=38.9, Params=178.5M2026.04 | 0.05 | 93.4 | — | 0.936 | — | 0.959 | — | — | — | |
| ARNetSource=20252025.12 | 0.052 | — | 84.7 | 0.878 | — | 0.917 | — | — | — | |
| dCODFPS=14.1, Params=253.7M2026.04 | 0.053 | 85.8 | — | 0.874 | — | 0.902 | — | — | — | |
| TiGAN2026.04 | 0.053 | 86.9 | — | 0.879 | — | 0.919 | — | — | — | |
| MENet2024.08 | 0.054 | — | — | — | — | 0.913 | 0.872 | — | — | |
| DPNetSource=TIP222025.12 | 0.054 | — | — | 0.877 | — | 0.907 | — | — | — | |
| MENetSource=CVPR232025.12 | 0.054 | — | — | 0.872 | — | 0.905 | — | — | — | |
| UGLRFPS=15.02026.04 | 0.054 | 88.2 | — | 0.881 | — | — | — | — | — | |
| CFNetSource=PR222025.12 | 0.055 | — | — | 0.877 | — | 0.916 | — | — | — | |
| GPONetSource=PR242025.12 | 0.055 | — | — | 0.871 | — | 0.908 | — | — | — | |
| ZoomNetBackbone=ResNet50, Year=20212022.03 | 0.057 | 86 | 84.4 | 0.869 | — | 0.917 | — | — | — | |
| PFRNFPS=42.0, Params=98M2026.04 | 0.057 | 84.5 | — | 0.861 | — | 0.87 | — | — | — | |
| RCSBNetCategory=Contour-based2021.05 | 0.058 | 84.2 | 81.6 | — | — | 0.852 | — | — | — | |
| MDIffFPS=7.4, Params=379.1M2026.04 | 0.058 | 85.8 | — | 0.865 | — | 0.803 | — | — | — | |
| PriorParams=36.5M2026.04 | 0.058 | 88.4 | — | 0.865 | — | — | — | — | — | |
| OursBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.059 | 85.2 | — | 0.861 | — | — | — | — | 88 | |
| RAS2021.10 | 0.06 | 83.1 | — | 0.838 | 80.3 | — | — | — | — | |
| Ours-DHBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS+HR-L2021.08 | 0.06 | 85.2 | — | 0.859 | — | — | — | — | 87.8 | |
| GCPANetBackbone=ResNet-502020.03 | 0.061 | 87.6 | — | 0.861 | — | — | — | — | — | |
| GCPA20Category=Non-Contour-based2021.05 | 0.061 | 82.6 | 80.8 | — | — | 0.847 | — | — | — | |
| Ours-DHBackbone=VGG-16, Training datasets=DUTS+HR-L2021.08 | 0.061 | 84.5 | — | 0.851 | — | — | — | — | 87.1 | |
| LDFBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.061 | 84.3 | — | 0.859 | — | — | — | — | 87.4 | |
| GCPANetSUP=F, YEAR=20202022.09 | 0.062 | 85.9 | — | 0.866 | — | — | — | — | — | |
| MINetSUP=F, YEAR=20202022.09 | 0.062 | 85.6 | — | 0.855 | — | — | — | — | — | |
| LDFBackbone=ResNet50, Year=20202022.03 | 0.062 | 85.1 | 82.9 | 0.859 | — | 0.905 | — | — | — | |
| VSTBackbone=T2T-ViTt-14, Year=20212022.03 | 0.062 | 84.7 | 82.7 | 0.871 | — | 0.918 | — | — | — | |
| EDN2024.08 | 0.062 | — | — | — | — | 0.902 | 0.865 | — | — | |
| VSTSource=ICCV212025.12 | 0.062 | — | — | 0.872 | — | 0.898 | — | — | — | |
| MDFANetSource=NeuCom252025.12 | 0.062 | — | 83 | 0.867 | — | 0.898 | — | — | — | |
| F3Net20Category=Non-Contour-based2021.05 | 0.062 | 83.5 | 81.6 | — | — | 0.859 | — | — | — | |
| GCPABackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.062 | 82.7 | — | 0.86 | — | — | — | — | 86.9 | |
| F3NBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.062 | 84 | — | 0.855 | — | — | — | — | 87.2 | |
| GCPANetBackbone=ResNet50, Year=20202022.03 | 0.063 | 84 | 81.9 | 0.864 | — | 0.906 | — | — | — | |
| Auto-MSFNetBackbone=ResNet50, Year=20212022.03 | 0.063 | 85.2 | 83 | 0.849 | — | 0.902 | — | — | — | |
| MPTNetSource=ESWA242025.12 | 0.063 | — | 81.7 | 0.862 | — | 0.901 | — | — | — | |
| MINet20Category=Non-Contour-based2021.05 | 0.063 | 82.9 | 80.9 | — | — | 0.851 | — | — | — | |
| OursBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.063 | 84.5 | — | 0.854 | — | — | — | — | 87.4 | |
| F3NetBackbone=ResNet50, Year=20202022.03 | 0.064 | 84.3 | 82.3 | 0.857 | — | 0.901 | — | — | — | |
| CTDNetBackbone=ResNet50, Year=20212022.03 | 0.064 | 85.1 | 82.9 | 0.859 | — | 0.904 | — | — | — | |
| ICON2024.08 | 0.064 | — | — | — | — | 0.893 | 0.861 | — | — | |
| PoolNet19Category=Contour-based2021.05 | 0.064 | 82.6 | 81.2 | — | — | 0.852 | — | — | — | |
| MINetBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.064 | 82.9 | — | 0.854 | — | — | — | — | 86.5 | |
| PiCANetSUP=F, YEAR=20182022.09 | 0.065 | 84.8 | — | 0.846 | — | — | — | — | — | |
| PFANSUP=F, YEAR=20192022.09 | 0.065 | 86.6 | — | 0.862 | — | — | — | — | — | |
| ICONSource=TPAMI232025.12 | 0.065 | — | 82.3 | 0.862 | — | 0.894 | — | — | — | |
| ITSD20Category=Contour-based2021.05 | 0.065 | 78.5 | 81.6 | — | — | 0.85 | — | — | — | |
| PFPNBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.065 | 82.4 | — | 0.851 | — | — | — | — | 87 | |
| SCRNBackbone=ResNet50, Year=20192022.03 | 0.066 | 84 | 81.3 | 0.865 | — | 0.906 | — | — | — | |
| DFIBackbone=ResNet50, Year=20202022.03 | 0.066 | 84.9 | 82.4 | 0.864 | — | 0.907 | — | — | — | |
| ITSDBackbone=ResNet50, Year=20202022.03 | 0.066 | 84.3 | 82.3 | 0.859 | — | 0.91 | — | — | — | |
| MINetBackbone=ResNet50, Year=20202022.03 | 0.066 | 84.1 | 81.8 | 0.854 | — | 0.901 | — | — | — | |
| CAGNet20Category=Non-Contour-based2021.05 | 0.066 | 83.3 | 80.8 | — | — | 0.857 | — | — | — | |
| PoolNetBackbone=ResNet50, Year=20192022.03 | 0.067 | 84.6 | 81.9 | 0.864 | — | 0.905 | — | — | — | |
| LDFBackbone=ResNet-50, MACs (G)=15.51, Params (M)=25.152021.04 | 0.067 | — | — | 0.861 | — | 0.888 | — | — | 83.9 | |
| VSTMACs (G)=23.16, Params (M)=44.482021.04 | 0.067 | — | — | 0.873 | — | 0.9 | — | — | 85 | |
| Pyramid Feature Attention Network (PFA)2019.03 | 0.0677 | — | 89.22 | — | — | — | — | — | — | |
| GateNet20Category=Non-Contour-based2021.05 | 0.068 | 81.9 | 79.7 | — | — | 0.852 | — | — | — | |
| ITSDBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.068 | 77.3 | — | 0.853 | — | — | — | — | 86.9 | |
| GateNetBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.068 | 79.7 | — | 0.853 | — | — | — | — | 87 | |
| A2SParams=106.2M2026.04 | 0.068 | 84.4 | — | — | — | 0.899 | — | — | — | |
| CSFBackbone=ResNet-50/101/ResNeXt-101/Res2Net50, Training datasets=DUTS2021.08 | 0.069 | 82.3 | — | 0.858 | — | — | — | — | 87.4 | |
| SGL-KRNBackbone=ResNet50, Year=20212022.03 | 0.07 | 84.9 | 82.3 | 0.854 | — | 0.9 | — | — | — | |
| AFNetSUP=F, YEAR=20192022.09 | 0.071 | 84.8 | — | 0.849 | — | — | — | — | — | |
| GateNetBackbone=ResNet50, Year=20202022.03 | 0.071 | 83.5 | 80.4 | 0.854 | — | 0.9 | — | — | — | |
| ITSDBackbone=ResNet-50, MACs (G)=15.96, Params (M)=26.472021.04 | 0.071 | — | — | 0.861 | — | 0.889 | — | — | 83.9 | |
| MINetBackbone=ResNet-50, MACs (G)=87.11, Params (M)=162.382021.04 | 0.071 | — | — | 0.856 | — | 0.883 | — | — | 83.1 | |
| GateNetBackbone=ResNet-50, MACs (G)=162.13, Params (M)=128.632021.04 | 0.071 | — | — | 0.863 | — | 0.886 | — | — | 83.6 | |
| CPD-R2020.03 | 0.072 | 86.4 | — | 0.842 | — | — | — | — | — | |
| DGRLSUP=F, YEAR=20182022.09 | 0.072 | 83.7 | — | 0.836 | — | — | — | — | — | |
| CPDSUP=F, YEAR=20192022.09 | 0.072 | 84.2 | — | 0.847 | — | — | — | — | — | |
| PiCANetMACs (G)=54.05, Params (M)=47.222021.04 | 0.072 | — | — | 0.846 | — | 0.882 | — | — | 82.4 | |
| CPD19Category=Non-Contour-based2021.05 | 0.072 | 83.1 | 80.3 | — | — | 0.849 | — | — | — | |
| CPDBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.072 | 82.4 | — | 0.842 | — | — | — | — | 86.1 | |
| BMPM2020.03 | 0.073 | 85.7 | — | 0.84 | — | — | — | — | — | |
| CSFBackbone=Res2Net, MACs (G)=18.96, Params (M)=36.532021.04 | 0.073 | — | — | 0.863 | — | 0.885 | — | — | 83.9 | |
| EGNet19Category=Contour-based2021.05 | 0.073 | 81.7 | 79.5 | — | — | 0.848 | — | — | — | |
| DGRL2020.03 | 0.074 | 85.3 | — | 0.834 | — | — | — | — | — | |
| PoolNet2020.03 | 0.074 | 86.9 | — | 0.845 | — | — | — | — | — | |
| MLMSNetSUP=F, YEAR=20192022.09 | 0.074 | 84.1 | — | 0.845 | — | — | — | — | — | |
| CPDBackbone=ResNet50, Year=20192022.03 | 0.074 | 82.7 | 80 | 0.844 | — | 0.888 | — | — | — | |
| U2Net2024.08 | 0.074 | — | — | — | — | 0.85 | 0.844 | — | — | |
| DNASource=TCybern212025.12 | 0.074 | — | 79.8 | 0.837 | — | 0.88 | — | — | — | |
| DGRLBackbone=VGG-16, Training datasets=DUTS2021.08 | 0.074 | 80.7 | — | 0.834 | — | — | — | — | 84.9 | |
| PiCANet-R2020.03 | 0.075 | 86.3 | — | 0.849 | — | — | — | — | — | |
| MLMSNetBackbone=VGG16, Year=20192022.03 | 0.075 | 81.4 | 78.5 | 0.845 | — | 0.893 | — | — | — | |
| BASNet2020.03 | 0.076 | 85.7 | — | 0.832 | — | — | — | — | — | |
| OursSUP=H2022.09 | 0.076 | 82.7 | — | 0.828 | — | — | — | — | — | |
| EGNetBackbone=ResNet50, Year=20192022.03 | 0.076 | 83.3 | 80.4 | 0.85 | — | 0.892 | — | — | — | |
| PoolNetMACs (G)=88.89, Params (M)=68.262021.04 | 0.076 | — | — | 0.852 | — | 0.88 | — | — | 83 | |
| AFNetMACs (G)=21.66, Params (M)=35.952021.04 | 0.076 | — | — | 0.849 | — | 0.877 | — | — | 82.4 |