Salient Object Detection on DUTS 35 (test)
89.2MaxFPoolNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 89.2 | 0.036 | |
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 88.6 | 0.04 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 88 | 0.041 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 87.6 | 0.043 | |
| PiCANetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 86.3 | 0.05 | |
| PiCANetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 85.5 | 0.053 | |
| PoolNetBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS, joint training with edge detection=false2019.04 | 85.5 | 0.053 | |
| PAGRBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 85.4 | 0.055 | |
| DGRLBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 82.8 | 0.049 | |
| SRMBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 82.6 | 0.058 | |
| MSRBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS2019.04 | 82.4 | 0.062 | |
| PoolNetBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B, joint training with edge detection=false2019.04 | 81.9 | 0.062 | |
| NLDFBackbone=VGG-16, Training #Images=3,000, Training Dataset=MSRA-B2019.04 | 81.6 | 0.065 | |
| DHSBackbone=VGG-16, Training #Images=9,500, Training Dataset=MSRA10K + DUT-OMRON2019.04 | 81.5 | 0.065 | |
| DSSBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 81.3 | 0.065 | |
| DCLBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 78.6 | 0.081 | |
| RFCNBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 78.6 | 0.09 | |
| AmuletBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 77.3 | 0.075 | |
| UCFBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 77.1 | 0.116 |