GA-Net-Pyramid: An Efficient End-to-End Network for Dense Matching

GA-Net-Pyramid: An Efficient End-to-End Network for Dense Matching

Dense matching plays a crucial role in computer vision and remote sensing, to rapidly provide stereo products using inexpensive hardware. Along with the development of deep learning, the Guided Aggregation Network (GA-Net) achieves state-of-the-art performance via the proposed Semi-Global Guided Agg...

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Bibliographic Details
Main Authors: Yuanxin Xia, Pablo d’Angelo, Friedrich Fraundorfer, Jiaojiao Tian, Mario Fuentes Reyes, Peter Reinartz
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
dense matching
deep learning
convolutional neural networks
end-to-end
pyramid architecture
Online Access:https://www.mdpi.com/2072-4292/14/8/1942

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