Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

How to effectively fuse cross-modal information is a key problem for RGB-D salient object detection. Early fusion and result fusion schemes fuse RGB and depth information at the input and output stages, respectively, and hence incur distribution gaps or information loss. Many models instead employ a...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 15. Dez., Seite 9026-9042
Auteur principal:	Liu, Nian (Auteur)
Autres auteurs:	Zhang, Ni, Shao, Ling, Han, Junwei
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't