Salient Object Detection on NLPR
0.02MAEAdaptive Predictor Fusion Network (APF)
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.02 | — | — | — | — | — | — | 0.964 | 0.932 | — | — | — | 0.936 | — | |
| DASNetBackbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.021 | — | — | — | — | — | — | 0.961 | 0.929 | — | — | — | 0.929 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.021 | — | — | — | — | — | — | 0.959 | 0.931 | — | — | — | 0.931 | — | |
| JL-DCFBackbone=ResNet-101, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.022 | — | — | — | — | — | — | 0.955 | 0.925 | — | — | — | 0.925 | — | |
| RD3DBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.022 | — | — | — | — | — | — | 0.959 | 0.929 | — | — | — | 0.927 | — | |
| SPNetBackbone=Res2Net-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.022 | — | — | — | — | — | — | 0.959 | 0.928 | — | — | — | 0.925 | — | |
| HDFNetBackbone=ResNet-502020.07 | 0.023 | 0.927 | 0.889 | 0.882 | 0.923 | 0.957 | — | — | — | — | — | — | — | — | |
| HDFNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.023 | — | — | — | — | — | — | 0.957 | 0.923 | — | — | — | 0.927 | — | |
| BBSNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.023 | — | — | — | — | — | — | 0.954 | 0.93 | — | — | — | 0.927 | — | |
| DCFBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.023 | — | — | — | — | — | — | 0.956 | 0.921 | — | — | — | 0.917 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.023 | — | — | — | — | — | — | 0.957 | 0.922 | — | — | — | 0.924 | — | |
| DSA2FBackbone=VGG-19, Method Style=Depth-based, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.024 | — | — | — | — | — | — | 0.952 | 0.918 | — | — | — | 0.916 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.024 | — | — | — | — | — | — | 0.953 | 0.925 | — | — | — | 0.923 | — | |
| HDFNetBackbone=VGG-162020.07 | 0.027 | 0.917 | 0.878 | 0.869 | 0.916 | 0.948 | — | — | — | — | — | — | — | — | |
| HDFNetBackbone=VGG-192020.07 | 0.027 | 0.919 | 0.883 | 0.871 | 0.915 | 0.951 | — | — | — | — | — | — | — | — | |
| DMRABackbone=VGG-192020.07 | 0.031 | 0.888 | 0.855 | 0.839 | 0.898 | 0.942 | — | — | — | — | — | — | — | — | |
| CoNet2020.07 | 0.031 | — | — | — | 0.907 | — | 0.85 | — | — | — | — | — | — | — | |
| DMRA2020.07 | 0.031 | — | — | 0.855 | — | — | 0.855 | 0.899 | 0.845 | — | — | — | — | — | |
| CoNet2020.07 | 0.031 | — | — | 0.848 | — | — | 0.936 | 0.907 | 0.85 | — | — | — | — | — | |
| CoNetBackbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.031 | — | — | — | — | — | — | 0.934 | 0.907 | — | — | — | 0.898 | — | |
| D3NetBackbone=ResNet-502020.07 | 0.034 | 0.904 | 0.834 | 0.826 | 0.906 | 0.934 | — | — | — | — | — | — | — | — | |
| BASNet2020.07 | 0.036 | — | — | — | 0.89 | — | 0.834 | — | — | — | — | — | — | — | |
| CPD2020.07 | 0.036 | — | — | — | 0.887 | — | 0.82 | — | — | — | — | — | — | — | |
| TANet2020.07 | 0.036 | — | — | 0.822 | — | — | 0.789 | 0.924 | 0.888 | — | — | — | — | — | |
| CPFPBackbone=VGG-162020.07 | 0.038 | 0.883 | 0.818 | 0.807 | 0.884 | 0.92 | — | — | — | — | — | — | — | — | |
| TANetBackbone=VGG-162020.07 | 0.041 | 0.876 | 0.796 | 0.78 | 0.886 | 0.916 | — | — | — | — | — | — | — | — | |
| PDNet2020.07 | 0.041 | — | — | 0.795 | — | — | 0.835 | 0.916 | 0.886 | — | — | — | — | — | |
| PCANetBackbone=VGG-162020.07 | 0.044 | 0.864 | 0.795 | 0.762 | 0.873 | 0.916 | — | — | — | — | — | — | — | — | |
| MPCI2020.07 | 0.044 | — | — | 0.794 | — | — | 0.855 | 0.916 | 0.873 | — | — | — | — | — | |
| EGNet2020.07 | 0.046 | — | — | — | 0.861 | — | 0.76 | — | — | — | — | — | — | — | |
| PoolNet2020.07 | 0.046 | — | — | — | 0.867 | — | 0.771 | — | — | — | — | — | — | — | |
| PAGRN2020.07 | 0.051 | — | — | — | 0.844 | — | 0.707 | — | — | — | — | — | — | — | |
| PiCANet2020.07 | 0.053 | — | — | — | 0.834 | — | 0.707 | — | — | — | — | — | — | — | |
| CTMFBackbone=VGG-162020.07 | 0.056 | 0.841 | 0.724 | 0.679 | 0.86 | 0.869 | — | — | — | — | — | — | — | — | |
| CTMF2020.07 | 0.056 | — | — | 0.723 | — | — | 0.691 | 0.869 | 0.86 | — | — | — | — | — | |
| AFNetBackbone=VGG-162020.07 | 0.058 | 0.816 | 0.747 | 0.693 | 0.799 | 0.884 | — | — | — | — | — | — | — | — | |
| MMCIBackbone=VGG-162020.07 | 0.059 | 0.841 | 0.73 | 0.676 | 0.856 | 0.872 | — | — | — | — | — | — | — | — | |
| CPFP2020.07 | 0.059 | — | — | 0.729 | — | — | 0.729 | 0.936 | 0.85 | — | — | — | — | — | |
| Amulet2020.07 | 0.062 | — | — | — | 0.848 | — | 0.716 | — | — | — | — | — | — | — | |
| PCA2020.07 | 0.064 | — | — | 0.74 | — | — | 0.688 | 0.942 | 0.835 | — | — | — | — | — | |
| DSS2020.07 | 0.076 | — | — | — | 0.816 | — | 0.614 | — | — | — | — | — | — | — | |
| MB2020.07 | 0.089 | — | — | 0.637 | — | — | 0.574 | 0.814 | 0.714 | — | — | — | — | — | |
| DF2020.07 | 0.099 | — | — | 0.682 | — | — | 0.524 | 0.838 | 0.769 | — | — | — | — | — | |
| DFBackbone=VGG-162020.07 | 0.1 | 0.752 | 0.683 | 0.516 | 0.769 | 0.84 | — | — | — | — | — | — | — | — | |
| R3Net2020.07 | 0.101 | — | — | — | 0.798 | — | 0.611 | — | — | — | — | — | — | — | |
| CDCP2020.07 | 0.114 | 0.687 | 0.591 | 0.501 | 0.724 | 0.786 | — | — | — | — | — | — | — | — | |
| CDCP2020.07 | 0.114 | — | — | 0.591 | — | — | 0.512 | 0.785 | 0.724 | — | — | — | — | — | |
| LHM2020.07 | 0.119 | — | — | 0.52 | — | — | 0.32 | 0.772 | 0.591 | — | — | — | — | — | |
| DCMC2020.07 | 0.196 | 0.413 | 0.328 | 0.259 | 0.55 | 0.685 | — | — | — | — | — | — | — | — | |
| DCMC2020.07 | 0.196 | — | — | 0.328 | — | — | 0.265 | 0.684 | 0.55 | — | — | — | — | — | |
| DES14Method Category=Traditional2020.07 | 0.3 | 0.695 | 0.583 | 0.254 | 0.582 | 0.76 | — | — | — | — | — | — | — | — | |
| DES2020.07 | 0.301 | — | — | 0.583 | — | — | 0.259 | 0.735 | 0.582 | — | — | — | — | — | |
| ACSDCategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.673 | 60.7 | 78 | 17.9 | — | — | |
| AFNetCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.799 | 77.1 | 87.9 | 5.8 | — | — | |
| CATNetParams (M)=262.732026.04 | — | — | — | — | 0.938 | 0.971 | — | — | — | — | — | — | — | 0.934 | |
| CPFPCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.888 | 86.7 | 93.2 | 3.6 | — | — | |
| CPNetParams (M)=216.502026.04 | — | — | — | — | 0.94 | 0.971 | — | — | — | — | — | — | — | 0.936 | |
| CTMFCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.86 | 82.5 | 92.9 | 5.6 | — | — | |
| D3NetCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.906 | 88.5 | 94.6 | 3.4 | — | — | |
| DCMCCategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.724 | 64.8 | 79.3 | 11.7 | — | — | |
| DFCategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.802 | 77.8 | 88 | 8.5 | — | — | |
| DGSSMParams (M)=44.732026.04 | — | — | — | — | 0.952 | 0.983 | — | — | — | — | — | — | — | 0.95 | |
| DMRACategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.899 | 87.9 | 94.7 | 3.1 | — | — | |
| JL-DCFCategory=Deep Learning, Jointly trained with RGB-D and RGB=false2020.08 | — | — | — | — | — | — | — | — | 0.925 | 91.6 | 96.2 | 2.2 | — | — | |
| JL-DCFParams (M)=143.522026.04 | — | — | — | — | 0.931 | 0.965 | — | — | — | — | — | — | — | 0.918 | |
| JL-DCF*Category=Deep Learning, Jointly trained with RGB-D and RGB=true2020.08 | — | — | — | — | — | — | — | — | 0.926 | 91.7 | 96.4 | 2.3 | — | — | |
| LBECategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.762 | 74.5 | 85.5 | 8.1 | — | — | |
| MDSFCategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.805 | 79.3 | 88.5 | 9.5 | — | — | |
| MMCICategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.856 | 81.5 | 91.3 | 5.9 | — | — | |
| PCFCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.874 | 84.1 | 92.5 | 4.4 | — | — | |
| SambaParams (M)=54.942026.04 | — | — | — | — | 0.947 | 0.976 | — | — | — | — | — | — | — | 0.941 | |
| SECategory=Traditional2020.08 | — | — | — | — | — | — | — | — | 0.756 | 71.3 | 84.7 | 9.1 | — | — | |
| SP-NetParams (M)=67.882026.04 | — | — | — | — | 0.927 | 0.962 | — | — | — | — | — | — | — | 0.919 | |
| SPSN2026.04 | — | — | — | — | 0.918 | 0.952 | — | — | — | — | — | — | — | 0.921 | |
| SwinNet-BParams (M)=199.182026.04 | — | — | — | — | 0.941 | 0.974 | — | — | — | — | — | — | — | 0.936 | |
| TANetCategory=Deep Learning2020.08 | — | — | — | — | — | — | — | — | 0.886 | 86.3 | 94.1 | 4.1 | — | — | |
| VSCode-SParams (M)=74.722026.04 | — | — | — | — | 0.941 | 0.968 | — | — | — | — | — | — | — | 0.932 | |
| VST-S++Params (M)=143.152026.04 | — | — | — | — | 0.935 | 0.964 | — | — | — | — | — | — | — | 0.925 |