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AbstractSalient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various computer vision tasks. Now, the advent of depth sensors means that depth maps can easily be captured; this additional spatial information can boost the performance of salient object detection. Although various RGB-D based salient object detection models with promising performance have been proposed over the past several years, andoi:10.1007/s41095-020-0199-z pmid:33432275 pmcid:PMC7788385 fatcat:foiz2zth4vckjfuhvh524hwdtq