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
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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
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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
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SLMSF-Net: A Semantic Localization and Multi-Scale Fusion Network for RGB-D Salient Object Detection [PDF]
SensorsSalient Object Detection (SOD) in RGB-D images plays a crucial role in the field of computer vision, with its central aim being to identify and segment the most visually striking objects within a scene.
Yanbin Peng, Zhinian Zhai, Mingkun Feng
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Cross-Modal Weakly Supervised RGB-D Salient Object Detection with a Focus on Filamentary Structures [PDF]
SensorsCurrent weakly supervised salient object detection (SOD) methods for RGB-D images mostly rely on image-level labels and sparse annotations, which makes it difficult to completely contour object boundaries in complex scenes, especially when detecting ...
Yifan Ding +4 more
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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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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
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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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Lightweight Spatial-Frequency Collaborative Interaction Network for RGB-D Salient Object Detection [PDF]
SensorsRGB-D salient object detection (SOD) aims to segment the most prominent objects from the background with a pair of given RGB and depth images. Existing RGB-D methods usually rely on heavy backbones to achieve high accuracy, while current lightweight ...
Yitong Lu, Ziguan Cui
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Multi-scale attention and collaborative fusion for enhanced RGB-D salient object detection in weld quality inspection [PDF]
Scientific ReportsSalient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene.
Zhiwen Xiong, Yuanchun Li
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