Research Article
Hierarchical Multimodal Adaptive Fusion (HMAF) Network for Prediction of RGB-D Saliency
Table 1
Comparison of quantitative scores of different loss function on two datasets.
| Datasets | Criteria | MSE | KL | CC′ | MSE + CC′ | MSE + KL | CC′ + KL |
| NUS | CC | 0.5224 | 0.5363 | 0.5296 | 0.5533 | 0.5473 | 0.5452 | KLDiv | 1.1690 | 1.2344 | 1.1834 | 1.0794 | 1.1907 | 1.1320 | AUC | 0.8519 | 0.8637 | 0.8627 | 0.8422 | 0.8571 | 0.8613 | NSS | 2.0926 | 2.1698 | 2.1259 | 2.3069 | 2.2391 | 2.2086 | NCTU | CC | 0.8256 | 0.8390 | 0.8287 | 0.8472 | 0.8345 | 0.8308 | KLDiv | 0.3176 | 0.2736 | 0.4877 | 0.3228 | 0.3333 | 0.3438 | AUC | 0.9025 | 0.9087 | 0.9011 | 0.9130 | 0.9044 | 0.9041 | NSS | 2.2957 | 2.3137 | 2.3199 | 2.3493 | 2.3437 | 2.3111 |
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