A review of object detection based on deep learning

• 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

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...