特别会议:2018低功耗图像识别挑战及超越

M. Ardi, A. Berg, Bo Chen, Yen-kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun
{"title":"特别会议:2018低功耗图像识别挑战及超越","authors":"M. Ardi, A. Berg, Bo Chen, Yen-kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun","doi":"10.1109/AICAS.2019.8771606","DOIUrl":null,"url":null,"abstract":"The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015. The competition identifies the best technologies that can detect objects in images efficiently (short execution time and low energy consumption). This paper summarizes LPIRC in year 2018 by describing the winners’ solutions. The paper also discusses the future of low-power computer vision.","PeriodicalId":273095,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Special Session: 2018 Low-Power Image Recognition Challenge and Beyond\",\"authors\":\"M. Ardi, A. Berg, Bo Chen, Yen-kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun\",\"doi\":\"10.1109/AICAS.2019.8771606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015. The competition identifies the best technologies that can detect objects in images efficiently (short execution time and low energy consumption). This paper summarizes LPIRC in year 2018 by describing the winners’ solutions. The paper also discusses the future of low-power computer vision.\",\"PeriodicalId\":273095,\"journal\":{\"name\":\"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AICAS.2019.8771606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAS.2019.8771606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

IEEE低功耗图像识别挑战赛(LPIRC)是2015年开始的年度比赛。该竞赛旨在确定能够有效检测图像中物体的最佳技术(执行时间短,能耗低)。本文通过描述获胜者的解决方案,总结了2018年的LPIRC。文章还讨论了低功耗计算机视觉的发展前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Special Session: 2018 Low-Power Image Recognition Challenge and Beyond
The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015. The competition identifies the best technologies that can detect objects in images efficiently (short execution time and low energy consumption). This paper summarizes LPIRC in year 2018 by describing the winners’ solutions. The paper also discusses the future of low-power computer vision.
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
自引率
0.00%
发文量
0
期刊最新文献
Artificial Intelligence of Things Wearable System for Cardiac Disease Detection Fast event-driven incremental learning of hand symbols Accelerating CNN-RNN Based Machine Health Monitoring on FPGA Neuromorphic networks on the SpiNNaker platform Complexity Reduction on HEVC Intra Mode Decision with modified LeNet-5
×
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