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Jul 10, 2014 · In this paper, we first create the salient object ground truth of a specific image dataset which contains 600 RGB-D (color and depth information) ...
A depth mask guiding network for RGB-D Salient Object Detection is proposed. A depth mask guidance module is designed to fully leverage depth information.
Mar 12, 2022 · We develop a Depth-supervised Fusion TRansformer (DFTR), to further improve the accuracy of both RGB and RGB-D SOD.
Jul 18, 2023 · In view of this, a novel RGB-D salient object detection model is presented, which follows the principle of calibration-then-fusion to ...
Integrating RGB and depth information has advanced salient object detection but low-quality depth maps lead to inaccurate results.
ABSTRACT. Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs.
Jun 3, 2024 · Multi-modal salient object detection (MSOD) aims to boost saliency detection performance by integrating visible sources with depth or thermal ...
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RGB-D (depth) Salient Object Detection (SOD) seeks to identify and segment the most visually compelling objects within a given scene. Depth data, known for ...
In this paper, we propose a saliency fusion and propagation strategy based salient object detection method for RGB-D images, in which multiple cues are fused to ...
In this work, we propose a depth-induced network (DIN) for RGB-D salient object detection, to take full advantage of both absolute and relative depth ...