Research on Goods Recognition Methods and Detection Algorithms Based on Deep Learning
Due to people's growing desire for a better life,consumption has become an important engine driving China's economic development,and strengthening consumer experience in the consumption process is also the key to improving consumer service efficiency.In order to improve the consumer experience while reducing human investment,an intelligent goods recognition tool is introduced to study a method of feature extraction and learning using attention mechanism.This paper briefly introduces deep learning methods and deep learning-based goods recognition methods,explores deep learning multi-objective goods detection algorithms,and compares and analyzes the improved MaskR-CNN,which can effectively prevent performance degradation caused by the increase in network complexity,thereby improving detection efficiency and accuracy.
Deep Learninggoods recognitiondetection algorithmTransfer Learning
国家科技期刊平台
NSTL
万方数据
