Differential Geometry Boosts Convolutional Neural Networks for Object Detection

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2016, Pages 1006-1013

  Wang, Chu ^a   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; GEOMETRY; NEURAL NETWORKS; OBJECT DETECTION; PATTERN RECOGNITION;

APPEARANCE-BASED OBJECT RECOGNITION; CONVOLUTIONAL NEURAL NETWORK; DIFFERENTIAL GEOMETRY; OBJECT DETECTION AND RECOGNITION; OBJECT RECOGNITION AND DETECTIONS; SURFACE CURVATURES; UNIVERSITY OF WASHINGTON; VISUAL RECOGNITION;

OBJECT RECOGNITION;

EID: 85010203620     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2016.130     Document Type: Conference Paper

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