Salient Object Detection on SOD 30 (test)
88.2MaxFPoolNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 88.2 | 0.102 | |
| PoolNetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 86.7 | 0.1 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=true2019.04 | 86.6 | 0.105 | |
| PiCANetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 86.3 | 0.102 | |
| PoolNetBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS, joint training with edge detection=false2019.04 | 86.1 | 0.118 | |
| PiCANetBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 86.1 | 0.103 | |
| PoolNetBackbone=VGG-16, Training #Images=10,553, Training Dataset=DUTS-TR, joint training with edge detection=false2019.04 | 85.9 | 0.115 | |
| GearNetBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS2019.04 | 85.3 | 0.117 | |
| PoolNetBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B, joint training with edge detection=false2019.04 | 84.6 | 0.124 | |
| DGRLBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 84.3 | 0.103 | |
| MSRBackbone=VGG-16, Training #Images=5,000, Training Dataset=MSRA-B + HKU-IS2019.04 | 84.1 | 0.111 | |
| SRMBackbone=ResNet-50, Training #Images=10,553, Training Dataset=DUTS-TR2019.04 | 84 | 0.126 | |
| NLDFBackbone=VGG-16, Training #Images=3,000, Training Dataset=MSRA-B2019.04 | 83.7 | 0.123 | |
| DSSBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 83.4 | 0.125 | |
| DCLBackbone=VGG-16, Training #Images=2,500, Training Dataset=MSRA-B2019.04 | 83.1 | 0.131 | |
| DHSBackbone=VGG-16, Training #Images=9,500, Training Dataset=MSRA10K + DUT-OMRON2019.04 | 82.3 | 0.128 | |
| RFCNBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 80.5 | 0.161 | |
| AmuletBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 79.9 | 0.146 | |
| UCFBackbone=VGG-16, Training #Images=10,000, Training Dataset=MSRA10K2019.04 | 79.8 | 0.164 |