Deformable part models are convolutional neural networks

Deformable part models (DPMs) and convolutional neural networks (CNNs) are two widely used tools for visual recognition. They are typically viewed as distinct approaches: DPMs are graphical models (Markov random fields), while CNNs are "black-box" non-linear classifiers. In this paper, we...

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Bibliographic Details

Published in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 437 - 446
Main Authors:	Girshick, Ross, Iandola, Forrest, Darrell, Trevor, Malik, Jitendra
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	Algorithms Computer vision Convolution Deformation Detectors Feature extraction Formability Geometry Inference Inference algorithms Neural networks Object detection Pattern recognition Transforms
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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