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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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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Hybrid-Attention Network for RGB-D Salient Object Detection
Applied Sciences, 2020 Depth information has been widely used to improve RGB-D salient object detection by extracting attention maps to determine the position information of objects in an image.
Yuzhen Chen, Wujie Zhou
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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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Study on salient object segmentation based on depth information guidance and SAM low-rank adaptation fine-tuning. [PDF]
PLoS ONEAccurate segmentation of salient objects is crucial for various computer vision applications including image editing, autonomous driving, and object detection. While research on using depth information (RGB-D) in saliency detection is gaining significant
Weiping M A
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Advancing in RGB-D Salient Object Detection: A Survey
Applied SciencesThe human visual system can rapidly focus on prominent objects in complex scenes, significantly enhancing information processing efficiency. Salient object detection (SOD) mimics this biological ability, aiming to identify and segment the most prominent ...
Ai Chen +4 more
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A multiple‐attention refinement network for RGB‐D salient object detection
IET Image ProcessingMost existing RGB‐D salient object detection (SOD) algorithms, when using depth information for cross‐modal fusion, result in significant information redundancy due to issues with low‐quality depth information, ambiguity, and difficulty in discriminating
Zijian Jiang +3 more
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Bifurcated Backbone Strategy for RGB-D Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2021 A preliminary version of this work has been accepted in ECCV ...
Yingjie Zhai +6 more
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MobileSal: Extremely Efficient RGB-D Salient Object Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Accepted in IEEE TPAMI, 11 pages, 11 tables, 5 ...
Yu-Huan Wu +5 more
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RGB-D Salient Object Detection Method Based on Multi-Modal Fusion and Contour Guidance
IEEE Access, 2023 Salient object detection is a critical task in the field of computer vision. However, existing detection methods still face certain challenges, such as the inability to effectively integrate multimodal features and the blurring of detection result ...
Yanbin Peng, Mingkun Feng, Zhijun Zheng
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