Deep High-order Tensor Convolutional Sparse Coding for Stereo Matching

With the rapid development of science and technology, high-dimensional data emerge one after another. High-order tensors can be used to describe high-dimensional data structure, which can retain the hidden structure of data, but cannot obtain the deep features. Therefore, it is very important to est...

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Veröffentlicht in:	2021 3rd International Conference on Robotics and Computer Vision (ICRCV) S. 57 - 62
Hauptverfasser:	Cui, Wenjing, Cheng, Chunbo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.08.2021
Schlagworte:	Computer vision Convolutional codes convolutional sparse coding Costs Data structures Deep learning dictionary learning Encoding high-order tensor stereo matching Tensors
Online-Zugang:	Volltext
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