Research Article
MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection
Table 1
Ablation experiment was performed on SOD, HKU-IS, and DUTS-TE datasets.
| Model | SOD | HKU-IS | DUTS-TE | MAE↓ | MaxF↑ | S↑ | MAE↓ | MaxF↑ | S↑ | MAE↓ | MaxF↑ | S↑ |
| (a) Baseline | 0.118 | 0.845 | 0.784 | 0.042 | 0.924 | 0.905 | 0.054 | 0.853 | 0.860 | (b) Base + E | 0.111 | 0.859 | 0.785 | 0.039 | 0.924 | 0.905 | 0.048 | 0.870 | 0.871 | (c) Base + U-E | 0.110 | 0.858 | 0.781 | 0.038 | 0.923 | 0.904 | 0.045 | 0.871 | 0.872 | (d) Base + U-E-G | 0.106 | 0.862 | 0.792 | 0.034 | 0.929 | 0.911 | 0.041 | 0.880 | 0.882 | (e) Our model | 0.103 | 0.866 | 0.791 | 0.032 | 0.933 | 0.913 | 0.040 | 0.878 | 0.881 |
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