Research Article
Multiscale Deep Network with Centerness-Aware Loss for Salient Object Detection
Table 3
Comparison with different λ. When λ = 0.50, the proposed model achieves the best results.
| | DUT-OMRON | DUTS | ECSSD | PASCAL-S | HKU-IS | Fm | MAE | Sm | Fm | MAE | Sm | Fm | MAE | Sm | Fm | MAE | Sm | Fm | MAE | Sm |
| λ = 0.25 | 0.761 | 0.054 | 0.846 | 0.825 | 0.038 | 0.892 | 0.918 | 0.036 | 0.928 | 0.837 | 0.067 | 0.862 | 0.907 | 0.030 | 0.923 | λ = 0.50 | 0.791 | 0.049 | 0.860 | 0.857 | 0.034 | 0.900 | 0.934 | 0.032 | 0.933 | 0.858 | 0.061 | 0.870 | 0.923 | 0.025 | 0.929 | λ = 0.75 | 0.777 | 0.051 | 0.847 | 0.839 | 0.038 | 0.887 | 0.926 | 0.034 | 0.926 | 0.849 | 0.065 | 0.861 | 0.913 | 0.029 | 0.920 | λ = 1.00 | 0.778 | 0.051 | 0.845 | 0.844 | 0.036 | 0.887 | 0.927 | 0.035 | 0.924 | 0.845 | 0.069 | 0.853 | 0.917 | 0.028 | 0.919 |
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