RGB-D Salient Object Detection on NJUDS
0.897S-measureOurs(VGG)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Ours(VGG)Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 0.897 | 0.873 | 0.052 | |
| Ours(ResNet)Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.889 | 0.863 | 0.051 | |
| TANet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.878 | 0.841 | 0.06 | |
| CPFP19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.878 | 0.85 | 0.053 | |
| PCF18Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.877 | 0.84 | 0.059 | |
| PDNet18Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 0.877 | 0.814 | 0.071 | |
| CPD19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.872 | 0.847 | 0.059 | |
| MMCI19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.858 | 0.793 | 0.079 | |
| CTMF18Training Image Num.=0.65K+1.4K, Training Dataset=NLR+NJU2020.08 | 0.849 | 0.779 | 0.085 | |
| BASNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.826 | 0.797 | 0.082 | |
| EGNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.818 | 0.784 | 0.088 | |
| AFNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 0.772 | 0.764 | 0.1 | |
| DF17Training Image Num.=0.75K+1.0K, Training Dataset=NLR+NJU2020.08 | 0.763 | 0.65 | 0.141 | |
| MDSF17Training Image Num.=0.50K+0.5K, Training Dataset=NLR+NJU2020.08 | 0.748 | 0.628 | 0.157 |