Research Article
Hierarchical Multimodal Adaptive Fusion (HMAF) Network for Prediction of RGB-D Saliency
Table 3
The evaluation results of various saliency prediction models.
| Datasets | Criteria | Fang | DeepFix | DVA | SAM | EML | SMI | Proposed |
| NUS | CC | 0.333 | 0.4322 | 0.4549 | 0.5013 | 0.4857 | 0.5368 | 0.5533 | KLDiv | 1.560 | 1.8138 | 2.4349 | 2.9059 | 2.2353 | 1.2501 | 1.0794 | AUC | 0.795 | 0.7699 | 0.7236 | 0.7461 | 0.8149 | 0.8648 | 0.8422 | NSS | 1.209 | 1.6608 | 1.7962 | 2.1259 | 1.9419 | 2.1843 | 2.3069 | NCTU | CC | 0.542 | 0.7974 | 0.6834 | 0.7115 | 0.7556 | 0.8376 | 0.8472 | KLDiv | 0.674 | 1.3083 | 1.1045 | 1.8482 | 0.3886 | 0.4826 | 0.3228 | AUC | 0.806 | 0.8650 | 0.8035 | 0.7250 | 0.8818 | 0.9053 | 0.9130 | NSS | 1.264 | 1.8575 | 1.5546 | 1.5386 | 2.0666 | 2.3121 | 2.3493 |
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