Deconvolutional networks

Matthew D. Zeiler; Dilip Krishnan; Graham W. Taylor; Rob Fergus

doi:10.1109/CVPR.2010.5539957

Deconvolutional networks

Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Rob Fergus

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information which destroys cues such as edge intersections, parallelism and symmetry. We present a learning framework where features that capture these mid-level cues spontaneously emerge from image data. Our approach is based on the convolutional decomposition of images under a sparsity constraint and is totally unsupervised. By building a hierarchy of such decompositions we can learn rich feature sets that are a robust image representation for both the analysis and synthesis of images.

Original language	English (US)
Title of host publication	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Pages	2528-2535
Number of pages	8
DOIs	https://doi.org/10.1109/CVPR.2010.5539957
State	Published - 2010
Event	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 - San Francisco, CA, United States Duration: Jun 13 2010 → Jun 18 2010

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)	1063-6919

Other

Other	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Country/Territory	United States
City	San Francisco, CA
Period	6/13/10 → 6/18/10

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/CVPR.2010.5539957

Cite this

Deconvolutional networks. / Zeiler, Matthew D.; Krishnan, Dilip; Taylor, Graham W. et al.
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. 2010. p. 2528-2535 5539957 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zeiler, MD, Krishnan, D, Taylor, GW & Fergus, R 2010, Deconvolutional networks. in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010., 5539957, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2528-2535, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, United States, 6/13/10. https://doi.org/10.1109/CVPR.2010.5539957

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Deconvolutional networks

Abstract

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ASJC Scopus subject areas

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