Self-attention Convolution for Sparse to Dense Depth Completion

Tao Zhao; Shuguo Pan; Hui Zhang

doi:10.1007/978-3-030-97196-0_9

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Self-attention Convolution for Sparse to Dense Depth Completion

Tao Zhao Shuguo Pan Hui Zhang

Year: 2022 Proceedings in adaptation, learning and optimization Pages: 105-112 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-97196-0_9

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Keywords:

Convolution (computer science) Computer science Artificial intelligence Convolutional neural network Set (abstract data type) RGB color model Image (mathematics) Algorithm Computer vision Pattern recognition (psychology) Artificial neural network

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

Self-attention Convolution for Sparse to Dense Depth Completion

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