【PLPR】Progressive Learning for Person Re-Identification with One Example

• Bibtex
• Public information
• Fields
• Code link
• Main work
• Key technology
• Framework
• Dataset
• Results
• Algorithm
• Others
• • 論文下載下傳： 關注下方公衆号，回複“PLPR”即可獲得論文原文

Bibtex

@article{plpr,

title = {Progressive Learning for Person Re-Identification with One Example},

author = {Wu, Yu and Lin, Yutian and Dong, Xuanyi and Yan, Yan and Bian, Wei and Yang, Yi},

journal= {IEEE Transactions on Image Processing},

year = {2019},

volume = {28},

number = {6},

pages = {2872-2881},

doi = {10.1109/TIP.2019.2891895},

ISSN = {1057-7149},

month = {June},

}

Public information

IEEE Transactions on Image Processing (TIP), 2019

Fields

• Person Re-ID
• One-shot Learning

Code link

https://github.com/Yu-Wu/One-Example-Person-ReID

Main work

compare with EUG, author impoved the utilize of the unlabeled samples, aiming to optimize the accuracy of estimation for labels and selection for persudo sample with right labels.

Key technology

• CNN
• feature extraction
• metric of samply similarity

Framework

Dataset

• Market-1501
• DukeMTMC-reID
• MARS
• DukeMTMC-VideoReID

Results

Algorithm

Others

論文下載下傳： 關注下方公衆号，回複“PLPR”即可獲得論文原文