Deformable part models are convolutional neural networks

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 437-446

  Girshick, Ross ^a   Iandola, Forrest ^b   Darrell, Trevor ^b   Malik, Jitendra ^b  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; DEFORMATION; GRAPHIC METHODS; INFERENCE ENGINES; MARKOV PROCESSES; NEURAL NETWORKS; OBJECT RECOGNITION;

CONVOLUTIONAL NEURAL NETWORK; DEFORMABLE PART MODELS; FEATURE EXTRACTOR; HISTOGRAMS OF ORIENTED GRADIENTS; INFERENCE ALGORITHM; MARKOV RANDOM FIELDS; NONLINEAR CLASSIFIERS; VISUAL RECOGNITION;

PATTERN RECOGNITION;

EID: 84959195179     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298641     Document Type: Conference Paper

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