通过对抗训练和知识提炼训练稳健图像识别模型的持续学习框架

IF 3.2 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee
{"title":"通过对抗训练和知识提炼训练稳健图像识别模型的持续学习框架","authors":"Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee","doi":"10.1080/09540091.2024.2379268","DOIUrl":null,"url":null,"abstract":"Deep learning has been widely adopted in many image recognition tasks with great success. It has now been applied to conducting tasks on vision-based edge devices with resource limitation. To secur...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation\",\"authors\":\"Ting-Chun Chou, Yu-Cheng Kuo, Jhih-Yuan Huang, Wei-Po Lee\",\"doi\":\"10.1080/09540091.2024.2379268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep learning has been widely adopted in many image recognition tasks with great success. It has now been applied to conducting tasks on vision-based edge devices with resource limitation. To secur...\",\"PeriodicalId\":50629,\"journal\":{\"name\":\"Connection Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Connection Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09540091.2024.2379268\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Connection Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09540091.2024.2379268","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

深度学习已被广泛应用于许多图像识别任务,并取得了巨大成功。现在,它已被应用于在资源有限的基于视觉的边缘设备上执行任务。为了确保边缘设备的安全,我们需要...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A continual learning framework to train robust image recognition models by adversarial training and knowledge distillation
Deep learning has been widely adopted in many image recognition tasks with great success. It has now been applied to conducting tasks on vision-based edge devices with resource limitation. To secur...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Connection Science
Connection Science 工程技术-计算机:理论方法
CiteScore
6.50
自引率
39.60%
发文量
94
审稿时长
3 months
期刊介绍: Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信