Deep learning shape priors for object segmentation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 1870-1877

  Chen, Fei ^a,c   Yu, Huimin ^a,b   Hu, Roland ^a   Zeng, Xunxun ^d  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c JIMEI UNIVERSITY   (China)

^d FUZHOU UNIVERSITY   (China)

Author keywords

Boltzmann machine; Deep learning; segmentation; shape priors; variational methods

Indexed keywords

BOLTZMANN MACHINES; DEEP BOLTZMANN MACHINES; DEEP LEARNING; GLOBAL AND LOCAL STRUCTURES; HIERARCHICAL ARCHITECTURES; PROBABILISTIC REPRESENTATION; SHAPE PRIORS; VARIATIONAL METHODS;

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; IMAGE SEGMENTATION; SOFTWARE ENGINEERING;

PATTERN RECOGNITION;

EID: 84887344821     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.244     Document Type: Conference Paper

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