Multi-Scale Context Attention Network for Stereo Matching

Multi-Scale Context Attention Network for Stereo Matching

Recently, many works for stereo matching with convolutional neural networks have gained satisfactory performance. However, it is still an urgent challenge to deal with ill-posed regions and improve details in disparity maps. To address these problems, we propose a multi-scale context attention netwo...

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Bibliographic Details
Main Authors: Haiwei Sang, Quanhong Wang, Yong Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multi-scale
richer convolutional
atrous spatial pyramid pooling attention
attention mechanism
online hard point mining
Online Access:https://ieeexplore.ieee.org/document/8630921/

Internet

https://ieeexplore.ieee.org/document/8630921/

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