On visual understanding

作     者：Yunhe PAN Yunhe PAN

作者机构：Institute of Artificial IntelligenceCollege of Computer Science and TechnologyZhejiang UniversityHangzhou310027China Zhejiang LabHangzhouChina 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2022年第23卷第9期

页      面：1287-1289页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081104[工学-模式识别与智能系统] 0839[工学-网络空间安全] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：I am grateful to Profs. Yueting ZHUANG  Fei WU  Weidong GENG  Yi YANG  Lingyun SUN  and Siliang TANG for providing valuable suggestions. 

主　　题：visual artificial networks 

摘      要：1 Problems and development in the field of visual recognition From the beginning of artificial intelligence(AI),pattern recognition has been an important aspect of the field.In recent years,the maturity of deep neural networks(DNNs)has significantly improved the accuracy of visual recognition.DNN has been widely used in applications such as medical image classification,vehicle identification,and facial recognition,and has thus promoted the development of the Al industryto a climax.