Salient Object Detection on DUT-O 42 (test)
83.3MaxFPoolNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 83.3 | 5.3 | |
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 83 | 5.5 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 82.1 | 5.6 | |
| PiCANetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 82 | 6.4 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 81.7 | 5.8 | |
| PiCANetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 81.5 | 6.7 | |
| PoolNetBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS, joint training with edge detection=false2019.04 | 80.6 | 6.3 | |
| MSRBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS2019.04 | 79 | 7.3 | |
| GearNetBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS2019.04 | 79 | 6.8 | |
| PoolNetBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B, joint training with edge detection=false2019.04 | 78.3 | 6.5 | |
| DGRLBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 77.4 | 6.2 | |
| PAGRBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 77.1 | 7.1 | |
| SRMBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 76.9 | 6.9 | |
| DSSBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 76 | 7.4 | |
| NLDFBackbone=VGG-16, Training #Images=3,000, Training Dataset=MSRA-B2019.04 | 75.3 | 7.9 | |
| RFCNBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 74.7 | 9.4 | |
| AmuletBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 73.7 | 8.3 | |
| UCFBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 73.5 | 13.1 | |
| DCLBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 73.3 | 9.4 |