Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1742-1750

  Papandreou, George ^a   Chen, Liang Chieh ^b   Murphy, Kevin P ^a   Yuille, Alan L ^b  

^a GOOGLE INC   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; MAXIMUM PRINCIPLE; NEURAL NETWORKS; SEMANTICS; SUPERVISED LEARNING;

ANNOTATED TRAINING DATA; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; EXPECTATION-MAXIMIZATION METHOD; EXPERIMENTAL EVALUATION; MULTIPLE DATA SETS; SEMANTIC IMAGE SEGMENTATIONS; SEMI- SUPERVISED LEARNING;

IMAGE SEGMENTATION;

EID: 84973863204     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.203     Document Type: Conference Paper

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