Salient Object Detection on DUTS low-resolution (test)
0.9FmaxOurs-DH
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Ours-DHTraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.9 | 0.876 | 0.892 | 0.031 | |
| OursTraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.895 | 0.87 | 0.892 | 0.033 | |
| Ours-DHTraining datasets=DUTS-TR + HRSOD-Training (resized), Backbone=VGG-162021.08 | 0.894 | 0.865 | 0.879 | 0.035 | |
| CSFTraining datasets=DUTS-TR, Backbone=Res2Net502021.08 | 0.894 | 0.855 | 0.89 | 0.034 | |
| PFPN+Training datasets=DUTS-TR, Backbone=ResNet-50, Post-processed by CRF=true2021.08 | 0.894 | 0.823 | 0.89 | 0.038 | |
| LDFTraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.891 | 0.84 | 0.888 | 0.035 | |
| F3NTraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.888 | 0.817 | 0.891 | 0.038 | |
| GCPATraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.885 | 0.805 | 0.887 | 0.041 | |
| OursTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.882 | 0.855 | 0.879 | 0.036 | |
| EGNetTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.877 | 0.8 | 0.866 | 0.044 | |
| MINetTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.877 | 0.823 | 0.875 | 0.039 | |
| GateNetTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.877 | 0.813 | 0.87 | 0.045 | |
| ITSDTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.876 | 0.798 | 0.877 | 0.042 | |
| CPDTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.864 | 0.813 | 0.867 | 0.043 | |
| BASNetTraining datasets=DUTS-TR, Backbone=ResNet-502021.08 | 0.859 | 0.791 | 0.866 | 0.048 | |
| DGRLTraining datasets=DUTS-TR, Backbone=VGG-162021.08 | 0.828 | 0.794 | 0.842 | 0.05 | |
| DSS+Training datasets=MSRA-B, Backbone=VGG-162021.08 | 0.825 | 0.808 | 0.82 | 0.057 | |
| HRNetTraining datasets=DUTS-TR + HRSOD-Training, Backbone=HRNet2021.08 | 0.801 | 0.778 | 0.794 | 0.048 | |
| AmuletTraining datasets=MSRA10K, Backbone=VGG-162021.08 | 0.778 | 0.678 | 0.804 | 0.085 | |
| R3NetTraining datasets=MSRA10K, Backbone=ResNeXt-1012021.08 | 0.778 | 0.716 | 0.837 | 0.067 |