Multi-Attention Network for Stereo Matching

Multi-Attention Network for Stereo Matching

In recent years, convolutional neural network (CNN) algorithms promote the development of stereo matching and make great progress, but some mismatches still occur in textureless, occluded and reflective regions. In feature extraction and cost aggregation, CNNs will greatly improve the accuracy of st...

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Bibliographic Details
Main Authors: Xiaowei Yang, Lin He, Yong Zhao, Haiwei Sang, Zu Liu Yang, Xian Jing Cheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neural network
stereo matching
multi-scale attention module
feature refinement module
3D attention aggregation module
Online Access:https://ieeexplore.ieee.org/document/9120049/

Internet

https://ieeexplore.ieee.org/document/9120049/

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