Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (1): 17-28.DOI: 10.3778/j.issn.1002-8331.2009-0099

Previous Articles     Next Articles

Small Object Detection Technology: A Review

LIANG Hong, WANG Qingwei, ZHANG Qian, LI Chuanxiu   

  1. College of Computer Science & Technology, China University of Petroleum(East China), Qingdao, Shandong 266580, China
  • Online:2021-01-01 Published:2020-12-31



  1. 中国石油大学(华东) 计算机科学与技术学院,山东 青岛 266580


Object detection is a kind of detection technology which can find and judge the object in the image through computer vision. Different from large and medium object detection, small objects have inherent defects such as less semantic information and small coverage area, which lead to unsatisfactory detection effect of small objects. Therefore, how to improve the detection effect of small objects is still a big problem in the field of computer vision. It outlines the research results in the field of small object detection in recent years at home and abroad. Firstly, it analyzes the definition and detection difficulties of small object. Secondly, it classifies and summarizes the methods that can effectively improve the detection accuracy of small object, and introduces the application and advantages of various methods. Finally, it forecasts and prospects the development trend of small object detection in the future.

Key words: deep learning, computer vision, convolution neural network, small object detection



关键词: 深度学习, 计算机视觉, 卷积神经网络, 小目标检测