Wang Hechun
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.
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Index Terms
- Survey of Deep Learning Based Object Detection
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