Nowadays, one of the research focuses in the field of computer vision is target detection, which aims at identifying and detecting the designated targets in images. At present, deep learning is a technology with rapid development and wide application range, and its learning ability can perform image recognition, feature extraction, classification recognition and other operations in target detection. This paper mainly introduces the research progress of deep learning and analyzes the characteristics of various network models.Finally,the paper expounds the application development of deep learning in the field of target detection, and analyzes the future research development is combined with the current problems and challenges.
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赵立新,邢润哲,白银光,等. 深度学习在目标检测的研究综述[J]. 科学技术与工程, 2021, 21(30): 12787-12795. Zhao Lixin, Xing Runzhe, Bai Yinguang, et al. A Survey of Deep Learning in Target Detection[J]. Science Technology and Engineering,2021,21(30):12787-12795.