DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

19 Mar 2020 Zuyao Chen Runmin Cong Qianqian Xu Qingming Huang

There are two main issues in RGB-D salient object detection: (1) how to effectively integrate the complementarity from the cross-modal RGB-D data; (2) how to prevent the contamination effect from the unreliable depth map. In fact, these two problems are linked and intertwined, but the previous methods tend to focus only on the first problem and ignore the consideration of depth map quality, which may yield the model fall into the sub-optimal state... (read more)

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