IEEE - Institute of Electrical and Electronics Engineers, Inc. - Learning Dense Correspondence via 3D-Guided Cycle Consistency

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Author(s): Tinghui Zhou ; Philipp Krahenbuhl ; Mathieu Aubry ; Qixing Huang ; Alexei A. Efros
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2016
Conference Location: Las Vegas, NV, USA
Conference Date: 27 June 2016
Page(s): 117 - 126
ISBN (Electronic): 978-1-4673-8851-1
ISSN (Electronic): 1063-6919
DOI: 10.1109/CVPR.2016.20
Regular:

Discriminative deep learning approaches have shown impressive results for problems where human-labeled ground truth is plentiful, but what about tasks where labels are difficult or impossible to... View More

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