Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image features with high-level context. In this paper, we propose a simple and scalab...

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Veröffentlicht in:	2014 IEEE Conference on Computer Vision and Pattern Recognition S. 580 - 587
Hauptverfasser:	Girshick, Ross, Donahue, Jeff, Darrell, Trevor, Malik, Jitendra
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2014
Schlagworte:	Computer vision Conferences Feature extraction Hierarchies Neural networks Object detection Pattern recognition Proposals Support vector machines Tasks Training Vectors Visualization Volatile organic compounds
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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