Results 41 to 50 of about 1,634 (141)
IEEE Access, 2021 The depth map contains abundant spatial structure cues, which makes it extensively introduced into saliency detection tasks for improving the detection accuracy.
Jiajia Wu +7 more
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A new benchmark for camouflaged object detection: RGB-D camouflaged object detection dataset
Open PhysicsThis article aims to provide a novel image paradigm for camouflaged object detection, i.e., RGB-D images. To promote the development of camouflaged object detection tasks based on RGB-D images, we construct an RGB-D camouflaged object detection dataset ...
Zhang Dongdong, Wang Chunping, Fu Qiang
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Saliency Detection with Bilateral Absorbing Markov Chain Guided by Depth Information
Sensors, 2021 The effectiveness of depth information in saliency detection has been fully proved. However, it is still worth exploring how to utilize the depth information more efficiently.
Jiajia Wu +5 more
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RGB–D Salient Object Detection with Three-branch Multi-level Transformer Feature Interaction
工程科学与技术, 2023 RGB depth map salient object detection (RGB–D SOD) is one of the research tasks in the field of computer vision. Existing models have achieved desired detection performance in simple scenes, but they cannot effectively handle complex scenes with multiple
Lingbing MENG +6 more
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Specificity-preserving RGB-D saliency detection
Computational Visual Media, 2023 Salient object detection (SOD) in RGB and depth images has attracted increasing research interest. Existing RGB-D SOD models usually adopt fusion strategies to learn a shared representation from RGB and depth modalities, while few methods explicitly ...
Tao Zhou +4 more
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SSTNet: Saliency sparse transformers network with tokenized dilation for salient object detection
IET Image Processing, 2023 The vision Transformer structure performs better in salient object detection than the convolutional neural network (CNN)‐based approach. Vision Transformer predicts saliency by modelling long‐range dependencies from sequence to sequence with convolution ...
Mo Yang, Ziyan Liu, Wen Dong, Ying Wu
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RGB-D Salient Object Detection Based on Fine-Grained Depth Quality Perception [PDF]
Jisuanji gongchengFusion-based RGB-D Salient Object Detection (RGB-D SOD) methods employ a dual-stream structure to balance RGB and depth maps, aiming to achieve superior performance in SOD compared with using RGB maps alone.
ZHANG Mingyue, CUI Shuangxin, ZHAO Yifan, LU Bo, WANG Ziming, CHEN Chenglizhao
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Cascade Graph Neural Networks for RGB-D Salient Object Detection [PDF]
, 2020 In this paper, we study the problem of salient object detection (SOD) for RGB-D images using both color and depth information.A major technical challenge in performing salient object detection fromRGB-D images is how to fully leverage the two complementary data sources.
Ao Luo +5 more
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RGB-D salient object detection based on BC2 FNet network
Xibei Gongye Daxue XuebaoIn the face of complex scene images, the introduction of depth information can greatly improve the performance of salient object detection. However, up-sampling and down-sampling operations in neural networks maybe blur the boundaries of objects in the ...
WANG Feng, CHENG Yongmei
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Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection
CoRR, 2023 10 pages, 10 ...
Hao Chen 0034, Feihong Shen
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