Subset feature learning for fine-grained category classification

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 46-52

  Ge, Zongyuan ^a,b   McCool, Christopher ^b   Sanderson, Conrad ^c,d   Corke, Peter ^a,b  

^a AUSTRALIAN CENTRE FOR ROBOTIC VISION   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d CSIRO   (Australia)

Author keywords

Accuracy; Australia; Birds; Feature extraction; Learning systems; Neural networks; Training

Indexed keywords

BIRDS; COMPUTER VISION; DEEP NEURAL NETWORKS; FEATURE EXTRACTION; LEARNING SYSTEMS; MACHINE LEARNING; NEURAL NETWORKS; PERSONNEL TRAINING; STATISTICAL TESTS;

ACCURACY; AUSTRALIA; CATEGORY CLASSIFICATION; CONVOLUTIONAL NEURAL NETWORK; FEATURE LEARNING; GENERIC FEATURES; INTRA-CLASS VARIATION; TRANSFER LEARNING;

CLASSIFICATION (OF INFORMATION);

EID: 84951950853     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301271     Document Type: Conference Paper

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