Understanding convolutional neural networks in terms of category-level attributes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9004, Issue , 2015, Pages 362-375

  Ozeki, Makoto ^a   Okatani, Takayuki ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; IMAGE RECOGNITION; NEURAL NETWORKS; OBJECT RECOGNITION; SEMANTICS;

ACTIVATION PATTERNS; CONVOLUTIONAL NEURAL NETWORK; IMAGE FEATURES; INTERNAL REPRESENTATION; OBJECT CATEGORY RECOGNITION; SEMANTIC ATTRIBUTE; STATE OF THE ART; VISUAL ATTRIBUTES;

COMPUTER VISION;

EID: 84945972026     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-16808-1_25     Document Type: Conference Paper

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