A review of object detection based on deep learning

With the rapid development of deep learning techniques, deep convolutional neural networks (DCNNs) have become more important for object detection. Compared with traditional handcrafted feature-based methods, the deep learning-based object detection methods can learn both low-level and high-level im...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 79; no. 33-34; pp. 23729 - 23791
Main Authors:	Xiao, Youzi, Tian, Zhiqiang, Yu, Jiachen, Zhang, Yinshu, Liu, Shuai, Du, Shaoyi, Lan, Xuguang
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.09.2020 Springer Nature B.V
Subjects:	Algorithms Artificial neural networks Computer Communication Networks Computer networks Computer Science Data Structures and Information Theory Deep learning Machine learning Meteorological satellites Multimedia Information Systems Neural networks Object recognition Special Purpose and Application-Based Systems Deep learning Deep convolutional neural networks Computer vision Object detection
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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