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Survey of Deep Learning based Object Detection - 2019

Survey Of Deep Learning Based Object Detection

Research Area:  Machine Learning

Abstract:

The main tasks of computer vision are image classification/location, target detection, target tracking, semantic segmentation and instance segmentation. The task of target detection is to output the borders and labels of a single target from the image. Object detection is an important issue in the field of computer vision. It has important research significance and application value in video monitoring, autonomous driving and human-computer interaction. In recent years, deep learning has made a breakthrough in the research of image classification and led to the rapid development of object vision detection. This paper briefly introduces the object detection algorithm based on deep learning. First, the basic process of object detection is introduced, then several current algorithms of object detection are introduced, and finally the future development trend is prospected.

Keywords:  

Author(s) Name:  Wang Hechun , Zheng Xiaohong

Journal name:  

Conferrence name:  ICBDT2019: Proceedings of the 2nd International Conference on Big Data Technologies

Publisher name:  ACM

DOI:  10.1145/3358528.3358574

Volume Information: