DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection

Chenxing Xia; Songsong Duan; Xianjin Fang; Bin Ge; Xiuju Gao; Jianhua Cui

doi:10.1007/978-3-031-20865-2_35

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DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection

Chenxing Xia Songsong Duan Xianjin Fang Bin Ge Xiuju Gao Jianhua Cui

Year: 2022 Lecture notes in computer science Pages: 473-487 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20865-2_35

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Keywords:

Computer science RGB color model Artificial intelligence Depth map Transformer Encoder Salient Computer vision Feature extraction Pattern recognition (psychology) Image (mathematics) Engineering

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Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

DAST: Depth-Aware Assessment and Synthesis Transformer for RGB-D Salient Object Detection

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