Reinforcement Learning for Visual Object Detection

One of the most widely used strategies for visual object detection is based on exhaustive spatial hypothesis search. While methods like sliding windows have been successful and effective for many years, they are still brute-force, independent of the image content and the visual category being search...

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Bibliographische Detailangaben

Veröffentlicht in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Jg. 2016-January; S. 2894 - 2902
Hauptverfasser:	Mathe, Stefan, Pirinen, Aleksis, Sminchisescu, Cristian
Format:	Tagungsbericht Buchkapitel
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2016
Schlagworte:	Computational efficiency Computational modeling Computer and Information Sciences Computer graphics and computer vision Data- och informationsvetenskap (Datateknik) Datorgrafik och datorseende Detectors Feature extraction History Natural Sciences Naturvetenskap Object detection Visualization
ISBN:	9781467388511, 1467388513
ISSN:	1063-6919
Online-Zugang:	Volltext
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