典型文献
Attention mechanisms in computer vision:A survey
文献摘要：
Humans can naturally and effectively find salient regions in complex scenes.Motivated by this observation,attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system.Such an attention mechanism can be regarded as a dynamic weight adjustment process based on features of the input image.Attention mechanisms have achieved great success in many visual tasks,including image classification,object detection,semantic segmentation,video understanding,image generation,3D vision,multi-modal tasks,and self-supervised learning.In this survey,we provide a comprehensive review of various attention mechanisms in computer vision and categorize them according to approach,such as channel attention,spatial attention,temporal attention,and branch attention;a related repository is dedicated to collecting related work.We also suggest future directions for attention mechanism research.
文献关键词：
中图分类号：
作者姓名：
Meng-Hao Guo;Tian-Xing Xu;Jiang-Jiang Liu;Zheng-Ning Liu;Peng-Tao Jiang;Tai-Jiang Mu;Song-Hai Zhang;Ralph R.Martin;Ming-Ming Cheng;Shi-Min Hu
作者机构：
BNRist,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China;TKLNDST,College of Computer Science,Nankai University,Tianjin 300350,China;School of Computer Science and Informatics,Cardiff University,Cardiff,UK
文献出处：
引用格式：
[1]Meng-Hao Guo;Tian-Xing Xu;Jiang-Jiang Liu;Zheng-Ning Liu;Peng-Tao Jiang;Tai-Jiang Mu;Song-Hai Zhang;Ralph R.Martin;Ming-Ming Cheng;Shi-Min Hu-.Attention mechanisms in computer vision:A survey)[J].计算可视媒体（英文）,2022(03):331-368
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B类：
Attention,mechanisms,computer,vision,survey,Humans,can,naturally,effectively,find,salient,regions,complex,scenes,Motivated,by,this,observation,attention,were,introduced,into,aim,imitating,aspect,human,visual,system,Such,be,regarded,dynamic,weight,adjustment,process,features,input,image,have,achieved,great,success,many,tasks,including,classification,object,detection,semantic,segmentation,video,understanding,generation,multi,modal,self,supervised,learning,In,provide,comprehensive,review,various,categorize,them,according,approach,such,channel,spatial,temporal,branch,related,repository,dedicated,collecting,work,We,also,suggest,future,directions,research
AB值：
0.684781
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