Large kernel matters - Improve semantic segmentation by global convolutional network

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

Volumn 2017-January, Issue , 2017, Pages 1743-1751

  Peng, Chao ^a   Zhang, Xiangyu ^b   Yu, Gang ^b   Luo, Guiming ^a   Sun, Jian ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Megvii Inc (Face++)   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION; CONVOLUTION; NETWORK ARCHITECTURE; SEMANTIC WEB; SEMANTICS;

BOUNDARY REFINEMENTS; CONVOLUTIONAL NETWORKS; DESIGN PRINCIPLES; OBJECT BOUNDARIES; RECENT TRENDS; RECEPTIVE FIELDS; SEMANTIC SEGMENTATION; STATE-OF-ART PERFORMANCE;

PATTERN RECOGNITION;

EID: 85037048973     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.189     Document Type: Conference Paper

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