With the rapid development of depth sensor, more and more RGB-D videos could be
obtained. Identifying the foreground in RGB-D videos is a fundamental and important task …

Depth can provide useful geographical cues for salient object detection (SOD), and has
been proven helpful in recent RGB-D SOD methods. However, existing video salient object …

Given the widespread adoption of depth-sensing acquisition devices, RGB-D videos and
related data/media have gained considerable traction in various aspects of daily life …

Abstract RGB-D SOD uses depth information to handle challenging scenes and obtain high-
quality saliency maps. Existing state-of-the-art RGB-D saliency detection methods …

Exploiting long-range semantic contexts and geometric information is crucial to infer salient
objects from RGB and depth features. However, existing methods mainly focus on …

Existing RGB-D Salient Object Detection (SOD) methods take advantage of depth cues to
improve the detection accuracy, while pay insufficient attention to the quality of depth …

Current RGB-D salient object detection (SOD) methods utilize the depth stream as
complementary information to the RGB stream. However, the depth maps are usually of low …

RGB-D salient object detection (SOD) has been in the spotlight recently because it is an
important preprocessing operation for various vision tasks. However, despite advances in …

Salient object detection (SOD) aims to identify standout elements in a scene, with recent
advancements primarily focused on integrating depth data (RGB-D) or temporal data from …

RGB-D salient object detection (SOD) enjoys significant advantages in understanding 3D
geometry of the scene. However, the geometry information conveyed by depth maps are …