Research Article
Deep Multimodal Fusion Autoencoder for Saliency Prediction of RGB-D Images
Table 2
The prediction performances of models A, B, and C, as well as our proposed autoencoder.
| Datasets | Criteria | Model A | Model B | Model C | Proposed |
| NUS | CC | 0.5220 | 0.5227 | 0.5097 | 0.5310 | KLDiv | 1.2538 | 1.3408 | 1.5606 | 1.2323 | AUC | 0.8353 | 0.8351 | 0.7841 | 0.8501 | NSS | 2.1198 | 2.1727 | 2.1301 | 2.1195 |
| NCTU | CC | 0.7607 | 0.8043 | 0.7967 | 0.8034 | KLDiv | 0.3900 | 0.4152 | 0.3869 | 0.3593 | AUC | 0.8552 | 0.8641 | 0.8618 | 0.8671 | NSS | 1.7348 | 1.8914 | 1.8227 | 1.8405 |
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