The following article for this Special Issue was published in a different issue

IF 1.5 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IET Computer Vision Pub Date : 2023-06-17 DOI:10.1049/cvi2.12211
{"title":"The following article for this Special Issue was published in a different issue","authors":"","doi":"10.1049/cvi2.12211","DOIUrl":null,"url":null,"abstract":"<p>Fan Liu, Feifan Li, Sai Yang. Few-shot classification using Gaussianisation prototypical classifier.</p><p>IET Computer Vision 2023 February; 17(1); 62–75. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.12129</p>","PeriodicalId":56304,"journal":{"name":"IET Computer Vision","volume":"17 5","pages":"614"},"PeriodicalIF":1.5000,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cvi2.12211","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Computer Vision","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cvi2.12211","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Fan Liu, Feifan Li, Sai Yang. Few-shot classification using Gaussianisation prototypical classifier.

IET Computer Vision 2023 February; 17(1); 62–75. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.12129

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
本期特刊的以下文章发表在另一期
刘帆,李非凡,赛扬。使用高斯化原型分类器的少量镜头分类。IET计算机视觉2023年2月;17(1);62–75。https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.12129
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IET Computer Vision
IET Computer Vision 工程技术-工程:电子与电气
CiteScore
3.30
自引率
11.80%
发文量
76
审稿时长
3.4 months
期刊介绍: IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision. IET Computer Vision welcomes submissions on the following topics: Biologically and perceptually motivated approaches to low level vision (feature detection, etc.); Perceptual grouping and organisation Representation, analysis and matching of 2D and 3D shape Shape-from-X Object recognition Image understanding Learning with visual inputs Motion analysis and object tracking Multiview scene analysis Cognitive approaches in low, mid and high level vision Control in visual systems Colour, reflectance and light Statistical and probabilistic models Face and gesture Surveillance Biometrics and security Robotics Vehicle guidance Automatic model aquisition Medical image analysis and understanding Aerial scene analysis and remote sensing Deep learning models in computer vision Both methodological and applications orientated papers are welcome. Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review. Special Issues Current Call for Papers: Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf
期刊最新文献
SRL-ProtoNet: Self-supervised representation learning for few-shot remote sensing scene classification Balanced parametric body prior for implicit clothed human reconstruction from a monocular RGB Social-ATPGNN: Prediction of multi-modal pedestrian trajectory of non-homogeneous social interaction HIST: Hierarchical and sequential transformer for image captioning Multi-modal video search by examples—A video quality impact analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1