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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 437 - 446
Hauptverfasser:	Girshick, Ross, Iandola, Forrest, Darrell, Trevor, Malik, Jitendra
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!