Experimental Study on the Impact of Infrared Image Quantization on Object Detection Performance
In order to investigate the impact of different quantization methods on the performance of the deep learning object detection network,a research-oriented teaching experiment is designed,which involves the research and analysis of the impact of infrared image quantization on deep learning object detection performance.The experiment content covers image processing,pattern recognition,computer vision,and so on.The experiment process involves several stages such as infrared image quantization,network model training,and testing analysis,i.e.,it runs through the entire process of developing high-level visual tasks based on deep learning.This experiment keeps experimental teaching up with the subject frontier,promoting the cultivation of students'research ability and comprehensive quality.
infrared image quantizationobject detectionartificial intelligenceteaching and research collaboration
万方数据
维普
