RGB-D Salient Object Detection on NJU2K (test)
0.939S-measure (Sα)CMINet
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CMINetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.939 | — | — | 0.032 | — | — | 0.925 | — | — | 0.956 | — | |
| Generative Vision TransformerBackbone=Swin-Transformer2021.12 | 0.929 | 0.924 | 0.956 | 0.028 | — | — | — | — | — | — | — | |
| VST2021.12 | 0.922 | 0.898 | 0.939 | 0.035 | — | — | — | — | — | — | — | |
| BBS-NetVenue=ECCV202021.04 | 0.921 | — | — | 0.035 | — | 0.92 | — | — | 0.949 | — | — | |
| BTS-NetVenue=Ours2021.04 | 0.921 | — | — | 0.036 | — | 0.924 | — | — | 0.954 | — | — | |
| BBSNet2021.12 | 0.921 | 0.902 | 0.938 | 0.035 | — | — | — | — | — | — | — | |
| BBS-NetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.921 | — | — | 0.035 | — | — | 0.902 | — | — | 0.938 | — | |
| BBS-NetEfficient version=false2020.07 | 0.921 | — | — | 0.035 | — | 0.92 | — | — | 0.949 | — | — | |
| BBS-NetEfficient version=true2020.07 | 0.916 | — | — | 0.038 | — | 0.918 | — | — | 0.948 | — | — | |
| RD3DPublication Venue=Ours2021.01 | 0.916 | — | — | 0.036 | — | 0.914 | — | — | 0.947 | — | — | |
| BiANetVenue=2020, Type=Deep Learning (Ours)2020.04 | 0.915 | — | — | 0.039 | — | 0.92 | 0.903 | 0.892 | 0.948 | 0.934 | 0.926 | |
| BiaNet2021.12 | 0.915 | 0.903 | 0.934 | 0.039 | — | — | — | — | — | — | — | |
| BiaNetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.915 | — | — | 0.039 | — | — | 0.903 | — | — | 0.934 | — | |
| Cas-GnnVenue=ECCV202021.04 | 0.912 | — | — | 0.036 | — | 0.916 | — | — | 0.948 | — | — | |
| CoNet2021.12 | 0.911 | 0.903 | 0.944 | 0.036 | — | — | — | — | — | — | — | |
| CoNetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.911 | — | — | 0.036 | — | — | 0.903 | — | — | 0.944 | — | |
| PGARVenue=ECCV202021.04 | 0.909 | — | — | 0.042 | — | 0.907 | — | — | 0.94 | — | — | |
| HDFNetVenue=ECCV202021.04 | 0.908 | — | — | 0.039 | — | 0.91 | — | — | 0.944 | — | — | |
| HDFNetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.908 | — | — | 0.038 | — | — | 0.892 | — | — | 0.936 | — | |
| JL-DCF2020.04 | 0.903 | 0.903 | 0.944 | 0.043 | — | — | — | — | — | — | — | |
| CMWNet2020.07 | 0.903 | — | 0.936 | 0.046 | 0.902 | — | — | — | — | — | — | |
| JL-DCFVenue=CVPR202021.04 | 0.903 | — | — | 0.043 | — | 0.903 | — | — | 0.944 | — | — | |
| DSA2F2021.12 | 0.903 | 0.901 | 0.923 | 0.039 | — | — | — | — | — | — | — | |
| CMWNetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.903 | — | — | 0.046 | — | — | 0.881 | — | — | 0.923 | — | |
| JLDCFPublication Venue=CVPR202021.01 | 0.903 | — | — | 0.043 | — | 0.903 | — | — | 0.944 | — | — | |
| UCNetTest-time depth usage=None2020.09 | 0.902 | 0.893 | 0.937 | 0.039 | — | — | — | — | — | — | — | |
| JLDCF2021.12 | 0.902 | 0.885 | 0.935 | 0.041 | — | — | — | — | — | — | — | |
| JLDCFFusion Category=Late Fusion, Model Type=Deep Model2021.09 | 0.902 | — | — | 0.041 | — | — | 0.885 | — | — | 0.935 | — | |
| cmMSVenue=ECCV202021.04 | 0.9 | — | — | 0.044 | — | 0.897 | — | — | 0.936 | — | — | |
| cmMSPublication Venue=ECCV202021.01 | 0.9 | — | — | 0.044 | — | 0.897 | — | — | 0.936 | — | — | |
| D3NetVenue=TNNLS202021.04 | 0.899 | — | — | 0.041 | — | 0.896 | — | — | 0.95 | — | — | |
| SSFVenue=CVPR202021.04 | 0.899 | — | — | 0.043 | — | 0.896 | — | — | 0.953 | — | — | |
| SSFPublication Venue=CVPR202021.01 | 0.899 | — | — | 0.043 | — | 0.896 | — | — | 0.935 | — | — | |
| DANetPublication Venue=ECCV202021.01 | 0.899 | — | — | 0.045 | — | 0.898 | — | — | 0.935 | — | — | |
| UCNetVenue=CVPR202021.04 | 0.897 | — | — | 0.043 | — | 0.895 | — | — | 0.936 | — | — | |
| UCNet2021.12 | 0.897 | 0.886 | 0.93 | 0.043 | — | — | — | — | — | — | — | |
| DANetFusion Category=Early Fusion, Model Type=Deep Model2021.09 | 0.897 | — | — | 0.046 | — | — | 0.877 | — | — | 0.926 | — | |
| UCNetFusion Category=Early Fusion, Model Type=Deep Model2021.09 | 0.897 | — | — | 0.043 | — | — | 0.886 | — | — | 0.93 | — | |
| UCNetPublication Venue=CVPR202021.01 | 0.897 | — | — | 0.043 | — | 0.895 | — | — | 0.936 | — | — | |
| D3Net2020.04 | 0.895 | 0.889 | 0.932 | 0.051 | — | — | — | — | — | — | — | |
| D3NetPublication Year=20192020.07 | 0.895 | — | 0.932 | 0.051 | 0.889 | — | — | — | — | — | — | |
| CoNetVenue=ECCV202021.04 | 0.895 | — | — | 0.047 | — | 0.892 | — | — | 0.937 | — | — | |
| CoNetPublication Venue=CVPR202021.01 | 0.895 | — | — | 0.047 | — | 0.893 | — | — | 0.937 | — | — | |
| S2MAFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.894 | — | — | 0.053 | — | — | 0.865 | — | — | 0.914 | — | |
| D3NetVenue=arXiv19, Type=Deep Learning2020.04 | 0.893 | — | — | 0.051 | — | 0.887 | 0.859 | 0.84 | 0.93 | 0.91 | 0.894 | |
| D3NetPublication Venue=TNNLS202021.01 | 0.893 | — | — | 0.051 | — | 0.887 | — | — | 0.93 | — | — | |
| DANetVenue=ECCV202021.04 | 0.891 | — | — | 0.048 | — | 0.88 | — | — | 0.932 | — | — | |
| DMRA2020.04 | 0.886 | 0.886 | 0.927 | 0.051 | — | — | — | — | — | — | — | |
| DMRAPublication Year=20192020.07 | 0.886 | — | 0.927 | 0.051 | 0.886 | — | — | — | — | — | — | |
| DMRAVenue=ICCV19, Type=Deep Learning2020.04 | 0.886 | — | — | 0.051 | — | 0.886 | 0.873 | 0.872 | 0.927 | 0.92 | 0.908 | |
| DMRAVenue=ICCV192021.04 | 0.886 | — | — | 0.051 | — | 0.886 | — | — | 0.927 | — | — | |
| DMRAFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.886 | — | — | 0.051 | — | — | 0.873 | — | — | 0.92 | — | |
| DMRA2020.07 | 0.886 | — | — | 0.051 | — | 0.886 | — | — | 0.927 | — | — | |
| DMRAPublication Venue=ICCV192021.01 | 0.886 | — | — | 0.051 | — | 0.886 | — | — | 0.927 | — | — | |
| CPFP2020.04 | 0.879 | 0.877 | 0.926 | 0.053 | — | — | — | — | — | — | — | |
| SCRNTest-time depth usage=None2020.09 | 0.879 | 0.863 | 0.912 | 0.052 | — | — | — | — | — | — | — | |
| CPFPVenue=CVPR19, Type=Deep Learning2020.04 | 0.879 | — | — | 0.053 | — | 0.877 | 0.85 | 0.837 | 0.926 | 0.91 | 0.895 | |
| CPFPVenue=CVPR192021.04 | 0.879 | — | — | 0.053 | — | 0.877 | — | — | 0.926 | — | — | |
| TANetFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.879 | — | — | 0.061 | — | — | 0.841 | — | — | 0.895 | — | |
| CPFP2020.07 | 0.879 | — | — | 0.053 | — | 0.877 | — | — | 0.926 | — | — | |
| CPFPPublication Venue=CVPR192021.01 | 0.879 | — | — | 0.053 | — | 0.877 | — | — | 0.926 | — | — | |
| TANet2020.04 | 0.878 | 0.874 | 0.925 | 0.06 | — | — | — | — | — | — | — | |
| TANetPublication Year=20192020.07 | 0.878 | — | 0.925 | 0.06 | 0.874 | — | — | — | — | — | — | |
| CPFPPublication Year=20192020.07 | 0.878 | — | 0.923 | 0.053 | 0.877 | — | — | — | — | — | — | |
| TANetVenue=TIP19, Type=Deep Learning2020.04 | 0.878 | — | — | 0.06 | — | 0.874 | 0.841 | 0.844 | 0.925 | 0.895 | 0.893 | |
| CPFPFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.878 | — | — | 0.053 | — | — | 0.85 | — | — | 0.91 | — | |
| TANet2020.07 | 0.878 | — | — | 0.06 | — | 0.874 | — | — | 0.925 | — | — | |
| PCF2020.04 | 0.877 | 0.872 | 0.924 | 0.059 | — | — | — | — | — | — | — | |
| PCFPublication Year=20182020.07 | 0.877 | — | 0.924 | 0.059 | 0.872 | — | — | — | — | — | — | |
| PCFVenue=CVPR18, Type=Deep Learning2020.04 | 0.877 | — | — | 0.059 | — | 0.872 | 0.84 | 0.844 | 0.924 | 0.895 | 0.896 | |
| PCFVenue=CVPR182021.04 | 0.877 | — | — | 0.059 | — | 0.872 | — | — | 0.924 | — | — | |
| PCFFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.877 | — | — | 0.059 | — | — | 0.84 | — | — | 0.895 | — | |
| PCF2020.07 | 0.877 | — | — | 0.059 | — | 0.872 | — | — | 0.924 | — | — | |
| PCFPublication Venue=CVPR182021.01 | 0.877 | — | — | 0.059 | — | 0.872 | — | — | 0.924 | — | — | |
| CPDTest-time depth usage=None2020.09 | 0.875 | 0.852 | 0.903 | 0.056 | — | — | — | — | — | — | — | |
| A2deleFusion Category=Late Fusion, Model Type=Deep Model2021.09 | 0.873 | — | — | 0.051 | — | — | 0.867 | — | — | 0.913 | — | |
| A2delePublication Venue=CVPR202021.01 | 0.869 | — | — | 0.051 | — | 0.873 | — | — | 0.916 | — | — | |
| A2deleVenue=CVPR202021.04 | 0.868 | — | — | 0.052 | — | 0.872 | — | — | 0.914 | — | — | |
| PiCANetTest-time depth usage=None2020.09 | 0.864 | 0.818 | 0.869 | 0.072 | — | — | — | — | — | — | — | |
| AFBNetTest-time depth usage=None2020.09 | 0.862 | 0.835 | 0.888 | 0.064 | — | — | — | — | — | — | — | |
| F3NetTest-time depth usage=None2020.09 | 0.861 | 0.837 | 0.89 | 0.061 | — | — | — | — | — | — | — | |
| MMCI2020.04 | 0.858 | 0.852 | 0.915 | 0.079 | — | — | — | — | — | — | — | |
| MMCIPublication Year=20192020.07 | 0.858 | — | 0.915 | 0.079 | 0.852 | — | — | — | — | — | — | |
| MMCIVenue=PR19, Type=Deep Learning2020.04 | 0.858 | — | — | 0.079 | — | 0.852 | 0.793 | 0.812 | 0.915 | 0.851 | 0.878 | |
| MMCIVenue=PR192021.04 | 0.858 | — | — | 0.079 | — | 0.852 | — | — | 0.915 | — | — | |
| MMCIFusion Category=Cross-level Fusion, Model Type=Deep Model2021.09 | 0.858 | — | — | 0.079 | — | — | 0.793 | — | — | 0.851 | — | |
| MMCI2020.07 | 0.858 | — | — | 0.079 | — | 0.852 | — | — | 0.915 | — | — | |
| MMCIPublication Venue=PR192021.01 | 0.858 | — | — | 0.079 | — | 0.852 | — | — | 0.915 | — | — | |
| CTMF2020.04 | 0.849 | 0.845 | 0.913 | 0.085 | — | — | — | — | — | — | — | |
| CTMFPublication Year=20182020.07 | 0.849 | — | 0.913 | 0.085 | 0.845 | — | — | — | — | — | — | |
| CTMFVenue=TOC18, Type=Deep Learning2020.04 | 0.849 | — | — | 0.085 | — | 0.845 | 0.779 | 0.788 | 0.913 | 0.846 | 0.864 | |
| CTMFFusion Category=Late Fusion, Model Type=Deep Model2021.09 | 0.849 | — | — | 0.085 | — | — | 0.779 | — | — | 0.846 | — | |
| CTMF2020.07 | 0.849 | — | — | 0.085 | — | 0.845 | — | — | 0.913 | — | — | |
| CTMFPublication Venue=TOC182021.01 | 0.849 | — | — | 0.085 | — | 0.845 | — | — | 0.913 | — | — | |
| AFNetFusion Category=Late Fusion, Model Type=Deep Model2021.09 | 0.822 | — | — | 0.077 | — | — | 0.827 | — | — | 0.867 | — | |
| NLDFTest-time depth usage=None2020.09 | 0.813 | 0.783 | 0.848 | 0.091 | — | — | — | — | — | — | — | |
| AFNet2020.04 | 0.772 | 0.775 | 0.853 | 0.1 | — | — | — | — | — | — | — | |
| AFNetPublication Year=20192020.07 | 0.772 | — | 0.853 | 0.1 | 0.775 | — | — | — | — | — | — | |
| AFNetVenue=arXiv19, Type=Deep Learning2020.04 | 0.772 | — | — | 0.1 | — | 0.775 | 0.764 | 0.768 | 0.853 | 0.826 | 0.846 | |
| AFNet2020.07 | 0.772 | — | — | 0.1 | — | 0.849 | — | — | 0.853 | — | — |