Jul 3, 2020 · In this paper, we propose a multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID, opening up a promising direction ...
Unsupervised domain adaptation (UDA) for person re-ID defines a learning prob- lem for target domains where source domains are fully labeled while sample labels.
Our code is based on open-reid and MMT. Citation. If you use this method or this code in your research, please cite as:.
A multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID is proposed, opening up a promising direction about model ensemble ...
In this paper, we propose a multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID, opening up a promising direction about model ...
Aug 23, 2020 · In this paper, we propose a multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID, opening up a promising direction ...
Jul 10, 2020 · In this paper, we propose a multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID, opening up a promising direction ...
Domain Adaptive Person Re-Identification | Papers With Code
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IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID. SikaStar/IDM ... Multiple Expert Brainstorming for Domain Adaptive Person Re-identification.
This paper proposes a novel Multiple Domain Experts Collaborative Learning (MECL) framework for better exploiting all training domains, which benefits from ...
Domain adaptive person re-identification (re-ID) is a challenging task, especially when person identities in target domains are unknown. Ranked #8 on ...