7 citations · 20 across the 8 of their papers we have counts for
8 papers
Exploring Flat Minima for Domain Generalization with Large Learning Rates
Jian Zhang, Lei Qi, Yinghuan Shi +1
Domain Generalization (DG) aims to generalize to arbitrary unseen domains. A promising approach to improve model generalization in DG is the identification of flat minima. One typi…
DomainAdaptor: A Novel Approach to Test-time Adaptation
Jian Zhang, Lei Qi, Yinghuan Shi +1
To deal with the domain shift between training and test samples, current methods have primarily focused on learning generalizable features during training and ignore the specificit…
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Xiran Wang, Jian Zhang, Lei Qi +1
Domain generalization (DG) is proposed to deal with the issue of domain shift, which occurs when statistical differences exist between source and target domains. However, most curr…
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Lihe Yang, Zhen Zhao, Lei Qi +3
Semi-supervised learning is attracting blooming attention, due to its success in combining unlabeled data. To mitigate potentially incorrect pseudo labels, recent frameworks mostly…
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks
Heng Cai, Lei Qi, Qian Yu +2
Medical image segmentation typically necessitates a large and precisely annotated dataset. However, obtaining pixel-wise annotation is a labor-intensive task that requires signific…
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Jintao Guo, Na Wang, Lei Qi +1
Domain generalization (DG) aims to learn a model that generalizes well to unseen target domains utilizing multiple source domains without re-training. Most existing DG works are ba…