Saliency Object Detection on SIP
0.922F_beta ScoreAdaptive Predictor Fusion Network (APF)
Evaluation Results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.922 | 0.936 | 0.899 | — | — | — | 0.039 | — | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.92 | 0.932 | 0.896 | — | — | — | 0.041 | — | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.918 | 0.932 | 0.896 | — | — | — | 0.041 | — | — | |
| SPNetBackbone=Res2Net-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.916 | 0.931 | 0.896 | — | — | — | 0.043 | — | — | |
| HDFNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.91 | 0.925 | 0.886 | — | — | — | 0.047 | — | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.907 | 0.922 | 0.883 | — | — | — | 0.047 | — | — | |
| RD3DBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.906 | 0.924 | 0.885 | — | — | — | 0.048 | — | — | |
| DPANetInput Modality=RGB-D2020.03 | 0.904 | — | — | — | 0.051 | 0.883 | — | — | — | |
| JL-DCFBackbone=ResNet-101, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.904 | 0.923 | 0.88 | — | — | — | 0.049 | — | — | |
| BBSNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.902 | 0.917 | 0.879 | — | — | — | 0.055 | — | — | |
| JL-DCF*Category=Deep Learning, Jointly trained with RGB-D and RGB=true2020.08 | 0.9 | 0.949 | 0.892 | — | 0.046 | — | — | — | — | |
| DCFBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 0.9 | 0.921 | 0.873 | — | — | — | 0.052 | — | — | |
| DASNetBackbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 0.9 | 0.923 | 0.877 | — | — | — | 0.051 | — | — | |
| BASNetInput Modality=RGB2020.03 | 0.894 | — | — | — | 0.055 | 0.872 | — | — | — | |
| AFNetInput Modality=RGB2020.03 | 0.891 | — | — | — | 0.055 | 0.876 | — | — | — | |
| DSA2FBackbone=VGG-19, Method Style=Depth-based, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.891 | 0.911 | 0.862 | — | — | — | 0.057 | — | — | |
| PICARInput Modality=RGB2020.03 | 0.89 | — | — | — | 0.06 | 0.878 | — | — | — | |
| [9]2021.02 | 0.885 | 0.923 | 0.879 | — | 0.051 | — | — | — | — | |
| JL-DCFCategory=Deep Learning, Jointly trained with RGB-D and RGB=false2020.08 | 0.885 | 0.923 | 0.879 | — | 0.051 | — | — | — | — | |
| [7]2021.02 | 0.883 | 0.922 | 0.879 | — | 0.085 | — | — | — | — | |
| DMRAInput Modality=RGB-D2020.03 | 0.883 | — | — | — | 0.063 | 0.85 | — | — | — | |
| CoNetBackbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 0.883 | 0.909 | 0.858 | — | — | — | 0.063 | — | — | |
| D3NetInput Modality=RGB-D2020.03 | 0.881 | — | — | — | 0.063 | 0.86 | — | — | — | |
| [25]depth_input=false2021.02 | 0.877 | 0.927 | 0.883 | — | 0.045 | — | — | — | — | |
| [25]depth_input=true2021.02 | 0.877 | 0.927 | 0.883 | — | 0.045 | — | — | — | — | |
| [28]2021.02 | 0.873 | 0.913 | 0.883 | — | 0.052 | — | — | — | — | |
| AF-NetInput Modality=RGB-D2020.03 | 0.87 | — | — | — | 0.071 | 0.844 | — | — | — | |
| CPFPInput Modality=RGB-D2020.03 | 0.87 | — | — | — | 0.064 | 0.85 | — | — | — | |
| [24]2021.02 | 0.868 | 0.906 | 0.879 | — | 0.055 | — | — | — | — | |
| [26]2021.02 | 0.867 | 0.914 | 0.875 | — | 0.051 | — | — | — | — | |
| PDNetInput Modality=RGB-D2020.03 | 0.863 | — | — | — | 0.091 | 0.843 | — | — | — | |
| D3NetCategory=Deep Learning2020.08 | 0.862 | 0.91 | 0.864 | — | 0.063 | — | — | — | — | |
| [6]2021.02 | 0.861 | 0.909 | 0.86 | — | 0.063 | — | — | — | — | |
| PoolNetInput Modality=RGB2020.03 | 0.856 | — | — | — | 0.079 | 0.836 | — | — | — | |
| CPFPCategory=Deep Learning2020.08 | 0.851 | 0.903 | 0.85 | — | 0.064 | — | — | — | — | |
| EGNetInput Modality=RGB2020.03 | 0.846 | — | — | — | 0.083 | 0.825 | — | — | — | |
| PCFCategory=Deep Learning2020.08 | 0.838 | 0.901 | 0.842 | — | 0.071 | — | — | — | — | |
| [2]2021.02 | 0.833 | 0.845 | 0.833 | — | 0.086 | — | — | — | — | |
| TANetCategory=Deep Learning2020.08 | 0.83 | 0.895 | 0.835 | — | 0.075 | — | — | — | — | |
| [17]2021.02 | 0.829 | 0.891 | 0.84 | — | 0.07 | — | — | — | — | |
| [29]2021.02 | 0.821 | 0.893 | 0.85 | — | 0.064 | — | — | — | — | |
| DMRACategory=Deep Learning2020.08 | 0.821 | 0.875 | 0.806 | — | 0.085 | — | — | — | — | |
| MMCICategory=Deep Learning2020.08 | 0.818 | 0.897 | 0.833 | — | 0.086 | — | — | — | — | |
| CoNet2020.07 | 0.814 | 0.909 | 0.858 | 0.842 | 0.063 | — | — | — | — | |
| DDNetParameters=3,334,829, dense_convolutions=true2021.02 | 0.813 | 0.935 | 0.863 | 0.797 | 0.043 | — | — | — | — | |
| [1]2021.02 | 0.803 | 0.87 | 0.835 | — | 0.075 | — | — | — | — | |
| CPFP2020.07 | 0.798 | 0.899 | 0.85 | 0.818 | 0.064 | — | — | — | — | |
| DDNetParameters=3,334,829, dense_convolutions=false2021.02 | 0.785 | 0.917 | 0.844 | 0.762 | 0.05 | — | — | — | — | |
| PCA2020.07 | 0.777 | 0.898 | 0.844 | 0.824 | 0.071 | — | — | — | — | |
| ACSDCategory=Traditional2020.08 | 0.763 | 0.838 | 0.732 | — | 0.172 | — | — | — | — | |
| TANet2020.07 | 0.762 | 0.893 | 0.835 | 0.809 | 0.075 | — | — | — | — | |
| LBECategory=Traditional2020.08 | 0.751 | 0.853 | 0.727 | — | 0.2 | — | — | — | — | |
| DMRA2020.07 | 0.75 | 0.863 | 0.806 | 0.819 | 0.085 | — | — | — | — | |
| MPCI2020.07 | 0.726 | 0.886 | 0.833 | 0.795 | 0.086 | — | — | — | — | |
| AFNetCategory=Deep Learning2020.08 | 0.712 | 0.819 | 0.72 | — | 0.118 | — | — | — | — | |
| [22]2021.02 | 0.702 | 0.793 | 0.72 | — | 0.118 | — | — | — | — | |
| MDSFCategory=Traditional2020.08 | 0.698 | 0.798 | 0.717 | — | 0.167 | — | — | — | — | |
| CTMFCategory=Deep Learning2020.08 | 0.694 | 0.829 | 0.716 | — | 0.139 | — | — | — | — | |
| [3]2021.02 | 0.669 | 0.77 | 0.616 | — | 0.298 | — | — | — | — | |
| SECategory=Traditional2020.08 | 0.661 | 0.771 | 0.628 | — | 0.164 | — | — | — | — | |
| [19]2021.02 | 0.657 | 0.759 | 0.653 | — | 0.185 | — | — | — | — | |
| DFCategory=Traditional2020.08 | 0.657 | 0.759 | 0.653 | — | 0.185 | — | — | — | — | |
| R3NetInput Modality=RGB2020.03 | 0.641 | — | — | — | 0.158 | 0.624 | — | — | — | |
| DCMCCategory=Traditional2020.08 | 0.618 | 0.743 | 0.683 | — | 0.186 | — | — | — | — | |
| [12]2021.02 | 0.608 | 0.705 | 0.716 | — | 0.139 | — | — | — | — | |
| [8]2021.02 | 0.571 | 0.651 | 0.727 | — | 0.2 | — | — | — | — | |
| [20]2021.02 | 0.568 | 0.645 | 0.717 | — | 0.167 | — | — | — | — | |
| CTMF2020.07 | 0.551 | 0.824 | 0.716 | 0.684 | 0.139 | — | — | — | — | |
| [15]2021.02 | 0.542 | 0.614 | 0.732 | — | 0.172 | — | — | — | — | |
| [11]2021.02 | 0.515 | 0.592 | 0.628 | — | 0.164 | — | — | — | — | |
| PDNet2020.07 | 0.503 | 0.802 | 0.691 | 0.62 | 0.166 | — | — | — | — | |
| [4]2021.02 | 0.499 | 0.598 | 0.683 | — | 0.186 | — | — | — | — | |
| MB2020.07 | 0.474 | 0.715 | 0.624 | 0.573 | 0.163 | — | — | — | — | |
| [18]2021.02 | 0.464 | 0.565 | 0.653 | — | 0.185 | — | — | — | — | |
| DCMC2020.07 | 0.426 | 0.787 | 0.684 | 0.646 | 0.186 | — | — | — | — | |
| CDCP2020.07 | 0.411 | 0.721 | 0.597 | 0.494 | 0.224 | — | — | — | — | |
| DF2020.07 | 0.411 | 0.794 | 0.651 | 0.672 | 0.186 | — | — | — | — | |
| DES2020.07 | 0.352 | 0.742 | 0.616 | 0.646 | 0.3 | — | — | — | — | |
| LHM2020.07 | 0.286 | 0.722 | 0.523 | 0.593 | 0.182 | — | — | — | — | |
| CATNetParams (M)=262.732026.04 | — | — | — | — | — | 0.91 | — | 0.928 | 0.951 | |
| CPNetParams (M)=216.502026.04 | — | — | — | — | — | 0.907 | — | 0.927 | 0.946 | |
| DGSSMParams (M)=44.732026.04 | — | — | — | — | — | 0.936 | — | 0.959 | 0.971 | |
| JL-DCFParams (M)=143.522026.04 | — | — | — | — | — | 0.885 | — | 0.894 | 0.931 | |
| SambaParams (M)=54.942026.04 | — | — | — | — | — | 0.931 | — | 0.949 | 0.966 | |
| SP-NetParams (M)=67.882026.04 | — | — | — | — | — | 0.894 | — | 0.904 | 0.933 | |
| SPSN2026.04 | — | — | — | — | — | 0.923 | — | 0.912 | 0.96 | |
| SwinNet-BParams (M)=199.182026.04 | — | — | — | — | — | 0.911 | — | 0.927 | 0.95 | |
| VSCode-SParams (M)=74.722026.04 | — | — | — | — | — | 0.924 | — | 0.942 | 0.958 | |
| VST-S++Params (M)=143.152026.04 | — | — | — | — | — | 0.904 | — | 0.918 | 0.946 |