25 citations · 30 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 2 cited
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
Bingyu Liu, Yuhong Guo, Jieping Ye +1
Recent domain adaptation methods have demonstrated impressive improvement on unsupervised domain adaptation problems. However, in the semi-supervised domain adaptation (SSDA) setti…
cs.CV2020★ 1 cited
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data
Zhen Zhao, Bingyu Liu, Yuhong Guo +1
In this paper, we present our proposed ensemble model with batch spectral regularization and data blending mechanisms for the Track 2 problem of the cross-domain few-shot learning…
cs.CV2020★ 25 cited
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…