Complementary learning for multi-modal saliency detection
US12026930B2 · kind B2 · utility
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Key dates
| Filing date | Sep 14, 2021 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Oct 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A saliency detection explicitly models complementary information between appearance, or color, and depth information in images. A mutual-information minimization is used as a regularizer to reduce the redundancy between appearance features from RGB and geometric features from depth in the latent space. Then the latent features of each of the appearance and geometric modalities are fused to achieve multi-modal feature fusion for saliency detection.
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