Research Article
MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection
Table 2
Ablation experiment for feature fusion.
| Method | SOD | HKU-IS | PASCAL-S | MAE↓ | MaxF↑ | S↑ | MAE↓ | MaxF↑ | S↑ | MAE↓ | MaxF↑ | S↑ |
| (a) ADD | 0.0991 | 0.8672 | 0.7926 | 0.0307 | 0.9363 | 0.9186 | 0.0658 | 0.8717 | 0.8616 | (b) Multiplication | 0.1002 | 0.8679 | 0.7945 | 0.0309 | 0.9366 | 0.9188 | 0.0666 | 0.8739 | 0.8614 | (c) Concat + conv | 0.0997 | 0.8707 | 0.7943 | 0.0301 | 0.9365 | 0.9185 | 0.0663 | 0.8711 | 0.8605 | (d) ADD + SA | 0.0979 | 0.8670 | 0.7955 | 0.0307 | 0.9365 | 0.9186 | 0.0650 | 0.8761 | 0.8613 | (e) Our model | 0.0966 | 0.8695 | 0.8019 | 0.0299 | 0.9354 | 0.9181 | 0.0643 | 0.8764 | 0.8613 |
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