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Multiple Domain Experts Collaborative Learning: Multi-Source Domain
  Generalization For Person Re-Identification

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification

26 May 2021
Shijie Yu
Feng Zhu
Dapeng Chen
Rui Zhao
Haobin Chen
Shixiang Tang
Jinguo Zhu
Yu Qiao
    OOD
ArXivPDFHTML

Papers citing "Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification"

4 / 4 papers shown
Title
Style Interleaved Learning for Generalizable Person Re-identification
Style Interleaved Learning for Generalizable Person Re-identification
Wentao Tan
Changxing Ding
Pengfei Wang
Mingming Gong
K. Jia
OOD
25
20
0
07 Jul 2022
Unity Style Transfer for Person Re-Identification
Unity Style Transfer for Person Re-Identification
C. Liu
Xiaojun Chang
Yi-Dong Shen
42
72
0
04 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
246
1,275
0
06 Mar 2017
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