Salient Object Detection On Soc
Metrics
Average MAE
S-Measure
mean E-Measure
Results
Performance results of various models on this benchmark
Model Name | Average MAE | S-Measure | mean E-Measure | Paper Title | Repository |
|---|---|---|---|---|---|
| NLDF | 0.106 | 0.816 | 0.837 | Non-Local Deep Features for Salient Object Detection | - |
| UCNet-APB | 0.091 | 0.842 | 0.868 | Uncertainty Inspired RGB-D Saliency Detection | |
| BASNet | 0.092 | 0.841 | 0.864 | BASNet: Boundary-Aware Salient Object Detection | - |
| PiCANet | 0.133 | 0.801 | 0.810 | PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection | |
| AFNet | 0.115 | 0.700 | 0.684 | Attentive Feedback Network for Boundary-Aware Salient Object Detection | |
| UCNet-CVAE | 0.089 | 0.849 | 0.872 | Uncertainty Inspired RGB-D Saliency Detection | |
| SCRN | 0.099 | 0.838 | 0.859 | Stacked Cross Refinement Network for Edge-Aware Salient Object Detection |
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