Deep Learning for Generic Object Detection: A Survey

Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep learning techniques have emerged as a powerful strategy for learning feature representations directly from...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 128; no. 2; pp. 261 - 318
Main Authors:	Liu, Li, Ouyang, Wanli, Wang, Xiaogang, Fieguth, Paul, Chen, Jie, Liu, Xinwang, Pietikäinen, Matti
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2020 Springer Springer Nature B.V
Subjects:	Artificial Intelligence Computational linguistics Computer Imaging Computer Science Computer vision Deep learning Human-computer interaction Image Processing and Computer Vision Language processing Machine learning Machine vision Medical imaging equipment Natural language interfaces Object recognition Pattern Recognition Pattern Recognition and Graphics Representations Survey Papers Vision Deep learning Convolutional neural networks Object recognition Object detection
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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