Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

Shuhan Chen; Yun Fu

doi:10.1007/978-3-030-58598-3_31

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Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

Shuhan Chen Yun Fu

Year: 2020 Lecture notes in computer science Pages: 520-538 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58598-3_31

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Keywords:

Computer science Residual Artificial intelligence RGB color model Margin (machine learning) Redundancy (engineering) Benchmark (surveying) Block (permutation group theory) Scratch Pattern recognition (psychology) Backbone network Salient Computer vision Machine learning Algorithm

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Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Virtual Reality Applications and Impacts

Physical Sciences → Computer Science → Human-Computer Interaction

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

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