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Employing Bilinear Fusion and Saliency Prior Information for RGB-D Salient Object Detection
2021
IEEE transactions on multimedia
Multi-modal feature fusion and saliency reasoning are two core sub-tasks of RGB-D salient object detection. However, most existing models employ linear fusion strategies (e.g., concatenation) for multi-modal feature fusion and use a simple coarse-to-fine structure for saliency reasoning. Despite their simpleness, they can neither fully capture the cross-modal complementary information nor exploit the multi-level complementary information among the cross-modal features at different levels. To
doi:10.1109/tmm.2021.3069297
fatcat:cvspnkbza5al7nvowh3zf6t7e4