RGBD Saliency Detection on DES
0.953S-measureCMINet
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CMINetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.953 | 0.926 | 0.97 | 0.015 | — | — | — | |
| ABPModel category=Deep2020.09 | 0.94 | 0.928 | 0.975 | 0.016 | — | — | — | |
| DPLNet2023.12 | 0.94 | 0.921 | 0.978 | 0.017 | — | — | — | |
| Ours(VGG)Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 0.935 | 0.901 | — | 0.021 | — | — | — | |
| UC-NetModel Category=Deep Models2020.04 | 0.934 | 0.919 | 0.967 | 0.019 | — | — | — | |
| UC-NetModel category=Deep2020.09 | 0.934 | 0.919 | 0.967 | 0.019 | — | — | — | |
| UCNetFusion Category=Early Fusion, Model Type=Deep Model2021.09 | 0.934 | 0.919 | 0.967 | 0.019 | — | — | — | |
| CMWNet2023.12 | 0.933 | 0.899 | 0.967 | 0.022 | — | — | — | |
| JLDCFFusion Category=Late Fusion, Model Type=Deep Model2021.09 | 0.931 | 0.907 | 0.959 | 0.021 | — | — | — | |
| CVAEModel category=Deep2020.09 | 0.929 | 0.929 | 0.975 | 0.016 | — | — | — | |
| LSNet2023.12 | 0.925 | 0.91 | 0.97 | 0.02 | — | — | — | |
| CMWNet2020.07 | 0.917 | — | — | 0.029 | — | 90.3 | 95.1 | |
| Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR+DUT2020.08 | 0.913 | 0.88 | — | 0.026 | — | — | 0.939 | |
| Ours(ResNet)Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.912 | 0.884 | — | 0.025 | — | — | — | |
| DASNetinference input=RGB only2020.05 | 0.908 | 0.892 | — | 0.023 | 0.928 | — | — | |
| D3NetPublication Year=20192020.07 | 0.906 | — | — | 0.034 | — | 88.5 | 94.6 | |
| BBSNet2023.12 | 0.906 | 0.866 | 0.941 | 0.029 | — | — | — | |
| DANetFusion Category=Early Fusion, Model Type=Deep Model2021.09 | 0.905 | 0.848 | 0.961 | 0.028 | — | — | — | |
| DMRAinference input=RGB-D2020.05 | 0.904 | 0.857 | — | 0.03 | 0.888 | — | — | |
| SSF2023.12 | 0.903 | 0.882 | 0.946 | 0.026 | — | — | — | |
| DMRAModel Category=Deep Models2020.04 | 0.9 | 0.873 | 0.933 | 0.03 | — | — | — | |
| D3Netinference input=RGB-D2020.05 | 0.9 | 0.859 | — | 0.03 | 0.885 | — | — | |
| DMRATraining Set=NJUD+NLPR+DUT2020.08 | 0.9 | 0.866 | — | 0.03 | — | — | 0.944 | |
| DMRAModel category=Deep2020.09 | 0.9 | 0.873 | 0.933 | 0.03 | — | — | — | |
| DMRAPublication Year=20192020.07 | 0.899 | — | — | 0.031 | — | 87.9 | 94.7 | |
| Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR2020.08 | 0.894 | 0.87 | — | 0.032 | — | — | 0.935 | |
| CPFPPublication Year=20192020.07 | 0.888 | — | — | 0.036 | — | 86.7 | 93.2 | |
| PDNet18Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 0.887 | 0.795 | — | 0.045 | — | — | — | |
| TANetPublication Year=20192020.07 | 0.886 | — | — | 0.041 | — | 86.3 | 94.1 | |
| CPD19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.877 | 0.849 | — | 0.038 | — | — | — | |
| PCFPublication Year=20182020.07 | 0.874 | — | — | 0.044 | — | 84.1 | 92.5 | |
| CPFPModel Category=Deep Models2020.04 | 0.872 | 0.824 | 0.888 | 0.038 | — | — | — | |
| CPFPinference input=RGB-D2020.05 | 0.872 | 0.815 | — | 0.038 | 0.838 | — | — | |
| CPFPTraining Set=NJUD+NLPR2020.08 | 0.872 | 0.829 | — | 0.038 | — | — | 0.927 | |
| CPFPModel category=Deep2020.09 | 0.872 | 0.824 | 0.888 | 0.038 | — | — | — | |
| CPFP19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.872 | 0.824 | — | 0.038 | — | — | — | |
| CTMFModel Category=Deep Models2020.04 | 0.863 | 0.756 | 0.826 | 0.055 | — | — | — | |
| CTMFinference input=RGB-D2020.05 | 0.863 | 0.765 | — | 0.055 | 0.844 | — | — | |
| CTMFTraining Set=NJUD+NLPR2020.08 | 0.863 | 0.778 | — | 0.055 | — | — | 0.911 | |
| CTMFModel category=Deep2020.09 | 0.863 | 0.756 | 0.826 | 0.055 | — | — | — | |
| CTMF18Training Image Num.=0.65K+1.4K, Training Dataset=NLR+NJU2020.08 | 0.863 | 0.756 | — | 0.055 | — | — | — | |
| CTMFPublication Year=20182020.07 | 0.86 | — | — | 0.056 | — | 82.5 | 92.9 | |
| TANetModel Category=Deep Models2020.04 | 0.858 | 0.79 | 0.863 | 0.046 | — | — | — | |
| TANetinference input=RGB-D2020.05 | 0.858 | 0.795 | — | 0.046 | 0.827 | — | — | |
| TANTraining Set=NJUD+NLPR2020.08 | 0.858 | 0.795 | — | 0.046 | — | — | 0.919 | |
| TANetModel category=Deep2020.09 | 0.858 | 0.79 | 0.863 | 0.046 | — | — | — | |
| TANet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.858 | 0.79 | — | 0.046 | — | — | — | |
| MMCIPublication Year=20192020.07 | 0.856 | — | — | 0.059 | — | 81.5 | 91.3 | |
| MMCIModel Category=Deep Models2020.04 | 0.848 | 0.735 | 0.825 | 0.065 | — | — | — | |
| MMCIinference input=RGB-D2020.05 | 0.848 | 0.75 | — | 0.065 | 0.822 | — | — | |
| MMCITraining Set=NJUD+NLPR2020.08 | 0.848 | 0.762 | — | 0.065 | — | — | 0.904 | |
| MMCIModel category=Deep2020.09 | 0.848 | 0.735 | 0.825 | 0.065 | — | — | — | |
| MMCI19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.848 | 0.735 | — | 0.065 | — | — | — | |
| PCFModel Category=Deep Models2020.04 | 0.842 | 0.765 | 0.838 | 0.049 | — | — | — | |
| PCFinference input=RGB-D2020.05 | 0.842 | 0.763 | — | 0.049 | 0.804 | — | — | |
| PCANTraining Set=NJUD+NLPR2020.08 | 0.842 | 0.782 | — | 0.049 | — | — | 0.912 | |
| PCFModel category=Deep2020.09 | 0.842 | 0.765 | 0.838 | 0.049 | — | — | — | |
| PCF18Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.842 | 0.765 | — | 0.049 | — | — | — | |
| BASNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.826 | 0.772 | — | 0.052 | — | — | — | |
| EGNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.811 | 0.777 | — | 0.058 | — | — | — | |
| MDSFPublication Year=20172020.07 | 0.805 | — | — | 0.095 | — | 79.3 | 88.5 | |
| DFPublication Year=20172020.07 | 0.802 | — | — | 0.085 | — | 77.8 | 88 | |
| AFNetPublication Year=20192020.07 | 0.799 | — | — | 0.058 | — | 77.1 | 87.9 | |
| AFNetModel Category=Deep Models2020.04 | 0.77 | 0.713 | 0.809 | 0.068 | — | — | — | |
| AFNetinference input=RGB-D2020.05 | 0.77 | 0.713 | — | 0.068 | 0.728 | — | — | |
| AFNetModel category=Deep2020.09 | 0.77 | 0.713 | 0.809 | 0.068 | — | — | — | |
| AFNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.77 | 0.713 | — | 0.068 | — | — | — | |
| LBEPublication Year=20162020.07 | 0.762 | — | — | 0.081 | — | 74.5 | 85.5 | |
| SEPublication Year=20162020.07 | 0.756 | — | — | 0.091 | — | 71.3 | 84.7 | |
| DFModel Category=Deep Models2020.04 | 0.752 | 0.604 | 0.684 | 0.093 | — | — | — | |
| DFinference input=RGB-D2020.05 | 0.752 | 0.566 | — | 0.093 | 0.766 | — | — | |
| DFTraining Set=NJUD+NLPR2020.08 | 0.752 | 0.753 | — | 0.093 | — | — | 0.877 | |
| DFModel category=Deep2020.09 | 0.752 | 0.604 | 0.684 | 0.093 | — | — | — | |
| DF17Training Image Num.=0.75K+1.0K, Training Dataset=NLR+NJU2020.08 | 0.752 | 0.604 | — | 0.093 | — | — | — | |
| DFFusion Category=Early Fusion, Model Type=Deep Model2021.09 | 0.752 | 0.604 | 0.684 | 0.093 | — | — | — | |
| MDSFModel Category=Handcrafted Feature-based Models2020.04 | 0.741 | 0.523 | 0.621 | 0.122 | — | — | — | |
| SEModel Category=Handcrafted Feature-based Models2020.04 | 0.741 | 0.618 | 0.706 | 0.09 | — | — | — | |
| MDSFModel category=Handcrafted2020.09 | 0.741 | 0.523 | 0.621 | 0.122 | — | — | — | |
| SEModel category=Handcrafted2020.09 | 0.741 | 0.618 | 0.706 | 0.09 | — | — | — | |
| MDSF17Training Image Num.=0.50K+0.5K, Training Dataset=NLR+NJU2020.08 | 0.741 | 0.523 | — | 0.122 | — | — | — | |
| DTMPublication Year=20192020.07 | 0.733 | — | — | 0.145 | — | 67.7 | 83.3 | |
| ACSDModel Category=Handcrafted Feature-based Models2020.04 | 0.728 | 0.513 | 0.613 | 0.169 | — | — | — | |
| ACSDTraining Set=NJUD+NLPR2020.08 | 0.728 | 0.717 | — | 0.169 | — | — | 0.855 | |
| ACSDModel category=Handcrafted2020.09 | 0.728 | 0.513 | 0.613 | 0.169 | — | — | — | |
| CDCPPublication Year=20172020.07 | 0.727 | — | — | 0.112 | — | 64.5 | 82 | |
| DCMCPublication Year=20162020.07 | 0.724 | — | — | 0.117 | — | 64.8 | 79.3 | |
| CDCPModel Category=Handcrafted Feature-based Models2020.04 | 0.709 | 0.585 | 0.748 | 0.115 | — | — | — | |
| CDCPModel category=Handcrafted2020.09 | 0.709 | 0.585 | 0.748 | 0.115 | — | — | — | |
| DCMCModel Category=Handcrafted Feature-based Models2020.04 | 0.707 | 0.542 | 0.631 | 0.111 | — | — | — | |
| DCMCModel category=Handcrafted2020.09 | 0.707 | 0.542 | 0.631 | 0.111 | — | — | — | |
| LBEModel Category=Handcrafted Feature-based Models2020.04 | 0.703 | 0.576 | 0.65 | 0.208 | — | — | — | |
| LBETraining Set=NJUD+NLPR2020.08 | 0.703 | 0.796 | — | 0.208 | — | — | 0.911 | |
| LBEModel category=Handcrafted2020.09 | 0.703 | 0.576 | 0.65 | 0.208 | — | — | — | |
| CDBModel Category=Handcrafted Feature-based Models2020.04 | 0.645 | 0.502 | 0.572 | 0.1 | — | — | — | |
| CDBModel category=Handcrafted2020.09 | 0.645 | 0.502 | 0.572 | 0.1 | — | — | — | |
| GPModel Category=Handcrafted Feature-based Models2020.04 | 0.636 | 0.412 | 0.503 | 0.168 | — | — | — | |
| GPModel category=Handcrafted2020.09 | 0.636 | 0.412 | 0.503 | 0.168 | — | — | — | |
| DESMModel Category=Handcrafted Feature-based Models2020.04 | 0.622 | 0.483 | 0.566 | 0.299 | — | — | — | |
| DESMModel category=Handcrafted2020.09 | 0.622 | 0.483 | 0.566 | 0.299 | — | — | — | |
| LHMModel Category=Handcrafted Feature-based Models2020.04 | 0.578 | 0.345 | 0.477 | 0.114 | — | — | — |