25 citations · 40 across the 4 of their papers we have counts for
4 papers
Domain Adaptation with Incomplete Target Domains
Zhenpeng Li, Jianan Jiang, Yuhong Guo +3
Domain adaptation, as a task of reducing the annotation cost in a target domain by exploiting the existing labeled data in an auxiliary source domain, has received a lot of attenti…
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning
Jianan Jiang, Zhenpeng Li, Yuhong Guo +1
In this paper, we present a new method, Transductive Multi-Head Few-Shot learning (TMHFS), to address the Cross-Domain Few-Shot Learning (CD-FSL) challenge. The TMHFS method extend…
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification
Bingyu Liu, Zhen Zhao, Zhenpeng Li +3
In this paper, we propose a feature transformation ensemble model with batch spectral regularization for the Cross-domain few-shot learning (CD-FSL) challenge. Specifically, we pro…
Mutual Learning Network for Multi-Source Domain Adaptation
Zhenpeng Li, Zhen Zhao, Yuhong Guo +2
Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed the setting of a single source domain, where all the labeled source data come from the same distribution. How…