中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 计算技术研究所
  3. 中国科学院计算技术研究所
  4. 中国科学院计算技术研究所期刊论文
  5. 英文
Isosceles Constraints for Person Re-Identification

文献类型：期刊论文

作者Xu, Furong1; Ma, Bingpeng1,2; Chang, Hong2,3; Shan, Shiguang2,3,4
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2020
卷号29页码:8930-8943
关键词Feature extraction Training Measurement Robustness Machine learning Probes Task analysis Person re-identification isosceles constraint triplet quadruplet
ISSN号1057-7149
DOI10.1109/TIP.2020.3020648
英文摘要In the existing works of person re-identification (ReID), batch hard triplet loss has achieved great success. However, it only cares about the hardest samples within the batch. For any probe, there are massive mismatched samples (crucial samples) outside the batch which are closer than the matched samples. To reduce the disruptive influence of crucial samples, we propose a novel isosceles contraint for triplet. Theoretically, we show that if a matched pair has equal distance to any one of mismatched sample, the matched pair should be infinitely close. Motivated by this, the isosceles constraint is designed for the two mismatched pairs of each triplet, to restrict some matched pairs with equal distance to different mismatched samples. Meanwhile, to ensure that the distance of mismatched pairs are larger than the matched pairs, margin constraints are necessary. Minimizing the isosceles and margin constraints with respect to the feature extraction network makes the matched pairs closer and the mismatched pairs farther away than the matched ones. By this way, crucial samples are effectively reduced and the performance on ReID is improved greatly. Likewise, our isosceles contraint can be applied to quadruplet as well. Comprehensive experimental evaluations on Market-1501, DukeMTMC-reID and CUHK03 datasets demonstrate the advantages of our isosceles constraint over the related state-of-the-art approaches.
资助项目Natural Science Foundation of China (NSFC)[61732004] ; Natural Science Foundation of China (NSFC)[61876171] ; Natural Science Foundation of China (NSFC)[61976203] ; Fundamental Research Funds for the Central Universities
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000572623700001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/15588]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ma, Bingpeng
作者单位1.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
4.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
推荐引用方式
GB/T 7714		 Xu, Furong,Ma, Bingpeng,Chang, Hong,et al. Isosceles Constraints for Person Re-Identification[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2020,29:8930-8943.
APA Xu, Furong,Ma, Bingpeng,Chang, Hong,&Shan, Shiguang.(2020).Isosceles Constraints for Person Re-Identification.IEEE TRANSACTIONS ON IMAGE PROCESSING,29,8930-8943.
MLA Xu, Furong,et al."Isosceles Constraints for Person Re-Identification".IEEE TRANSACTIONS ON IMAGE PROCESSING 29(2020):8930-8943.

入库方式： OAI收割

来源：计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。