Research Article
Multistrengthening Module-Based Salient Object Detection
Table 2
Quantitative evaluation on five datasets.
| Method | ECSSD | HKU-IS | 1,000 images | 4,447 mages | MAE | | Sm | MAE | | Sm |
| BASNet | 0.037 | 0.88 | 0.921 | 0.032 | 0.895 | 0.946 | F3Net | 0.033 | 0.925 | 0.927 | 0.028 | 0.91 | 0.953 | GateNet | 0.041 | 0.941 | 0.917 | 0.035 | 0.928 | 0.909 | ITSD | 0.04 | 0.939 | — | 0.035 | 0.927 | — | LDF | 0.034 | 0.93 | 0.925 | 0.027 | 0.914 | 0.954 | MINet | 0.036 | 0.943 | 0.947 | 0.03 | 0.932 | 0.955 | AFNet | 0.042 | 0.935 | 0.914 | 0.036 | 0.923 | 0.905 | EGNet | 0.044 | 0.941 | 0.913 | 0.034 | 0.929 | 0.91 | PoolNet | 0.038 | 0.945 | — | 0.03 | 0.935 | — | Ours | 0.028 | 0.985 | 0.993 | 0.012 | 0.968 | 0.987 |
| Method | DUT-OMRON | DUTS-TE | PASCAL-S | 5,168 images | 5,019 images | 850 images | MAE | | Sm | MAE | | Sm | MAE | | Sm |
| BASNet | 0.056 | 0.756 | 0.869 | 0.048 | 0.791 | 0.884 | 0.076 | 0.775 | 0.847 | F3Net | 0.053 | 0.766 | 0.87 | 0.035 | 0.84 | 0.902 | 0.062 | 0.84 | 0.859 | GateNet | 0.061 | 0.794 | 0.82 | 0.045 | 0.87 | 0.869 | 0.07 | 0.882 | 0.855 | ITSD | 0.063 | 0.813 | — | 0.042 | 0.877 | — | — | — | — | LDF | 0.051 | 0.773 | 0.873 | 0.034 | 0.855 | 0.91 | 0.06 | 0.848 | 0.865 | MINet | 0.057 | 0.794 | 0.864 | 0.039 | 0.877 | 0.912 | 0.065 | 0.882 | 0.898 | AFNet | 0.057 | 0.797 | 0.826 | 0.046 | 0.862 | 0.866 | 0.071 | 0.868 | 0.85 | EGNet | 0.056 | 0.826 | 0.813 | 0.043 | 0.88 | 0.866 | 0.076 | 0.863 | 0.848 | PoolNet | 0.053 | 0.833 | — | 0.036 | 0.892 | — | 0.065 | 0.88 | — | Ours | 0.014 | 0.942 | 0.976 | 0.013 | 0.945 | 0.981 | 0.069 | 0.969 | 0.983 |
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