Domain Adaptation Person Re Identification

We study the problem of unsupervised domain adaptive re identification re id which is an active topic in computer vision but lacks a theoretical foundation.

Domain adaptation person re identification. Unsupervised domain adaptation uda has already been well studied in computer vision community. 0 share. Domain adaptation through synthesis for unsupervised person re identification sławomir bąk1 0000 0002 7152 5002 peter carr1 jean françois lalonde2 0000 0002 6583 2364 1 argo ai pittsburgh pa 15222 usa sbak pcarr argo ai 2 université laval quebec city g1v 0a6 canada jflalonde gel ulaval ca. Recently there has been a growing interest in using unsupervised domain adaptation to address this scalability issue.

Concretely we introduce some assumptions on the extracted feature space and then derive several loss functions guided by these assumptions. Drastic variations in illumination across surveillance cameras make the person re identification problem extremely challenging. Although a significant progress has been witnessed in supervised person re identification re id it remains challenging to generalize re id models to new domains due to the huge domain gaps. 04 26 2018 by slawomir bak et al.

For person re id actually may not work well in real world settings. Domain adaptation through synthesis for unsupervised person re identification. Joint disentangling and adaptation for cross domain person re identification springerlink. Request pdf structured domain adaptation for unsupervised person re identification unsupervised domain adaptation uda aims at adapting the model trained on a labeled source domain dataset to.

Pdf on jan 1 2020 tiago pereira and others published domain adaptation for person re identification on new unlabeled data find read and cite all the research you need on researchgate. Although a significant progress has been witnessed in supervised person re identification re id it remains challenging to generalize re id models to new domains due to the huge domain gaps.