RGB-D salient object detection: A survey. [PDF]
Comput Vis Media (Beijing), 2021 Salient object detection (SOD), which simulates the human visual perception system to locate the most attractive object(s) in a scene, has been widely applied to various computer vision tasks. Now, with the advent of depth sensors, depth maps with affluent spatial information that can be beneficial in boosting the performance of SOD, can easily be ...
Zhou T +4 more
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Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection [PDF]
Sensors, 2023 Detecting salient objects in complicated scenarios is a challenging problem. Except for semantic features from the RGB image, spatial information from the depth image also provides sufficient cues about the object.
Yuqiu Kong +5 more
doaj +2 more sources
Global Guided Cross-Modal Cross-Scale Network for RGB-D Salient Object Detection [PDF]
Sensors, 2023 RGB-D saliency detection aims to accurately localize salient regions using the complementary information of a depth map. Global contexts carried by the deep layer are key to salient objection detection, but they are diluted when transferred to shallower ...
Shuaihui Wang, Fengyi Jiang, Boqian Xu
doaj +2 more sources
RGB-D salient object detection via convolutional capsule network based on feature extraction and integration [PDF]
Scientific Reports, 2023 Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete ...
Kun Xu, Jichang Guo
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Adaptive Fusion for RGB-D Salient Object Detection [PDF]
IEEE Access, 2019 RGB-D (red, green, blue, and depth) salient object detection aims to identify the most visually distinctive objects in a pair of color and depth images.
Ningning Wang, Xiaojin Gong
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Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection [PDF]
Sensors, 2023 Salient object detection (SOD), which is used to identify the most distinctive object in a given scene, plays an important role in computer vision tasks.
Shuaihui Wang, Fengyi Jiang, Boqian Xu
doaj +2 more sources
RGB-D Salient Object Detection With Ubiquitous Target Awareness [PDF]
IEEE Transactions on Image Processing, 2021 Conventional RGB-D salient object detection methods aim to leverage depth as complementary information to find the salient regions in both modalities. However, the salient object detection results heavily rely on the quality of captured depth data which sometimes are unavailable. In this work, we make the first attempt to solve the RGB-D salient object
Yifan Zhao, Xiaowu Chen, Jia Li
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Cross-modal interactive and global awareness fusion network for RGB-D salient object detection. [PDF]
PLoS ONEThe RGB-D salient object detection technique has garnered significant attention in recent years due to its excellent performance. It outperforms salient object detection methods that rely solely on RGB images by leveraging the geometric morphology and ...
Runqing Li +3 more
doaj +3 more sources
Dynamic Knowledge Distillation with Noise Elimination for RGB-D Salient Object Detection [PDF]
Sensors, 2022 RGB-D salient object detection (SOD) demonstrates its superiority in detecting in complex environments due to the additional depth information introduced in the data.
Guangyu Ren +3 more
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Bilateral Attention Network for RGB-D Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2021 Most existing RGB-D salient object detection (SOD) methods focus on the foreground region when utilizing the depth images. However, the background also provides important information in traditional SOD methods for promising performance. To better explore salient information in both foreground and background regions, this paper proposes a Bilateral ...
Wenda Jin, Zhao Zhang, Xu Jun
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