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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Veröffentlicht in:	Multimedia tools and applications Jg. 79; H. 33-34; S. 23729 - 23791
Hauptverfasser:	Xiao, Youzi, Tian, Zhiqiang, Yu, Jiachen, Zhang, Yinshu, Liu, Shuai, Du, Shaoyi, Lan, Xuguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2020 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
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