61 citations · 337 across the 72 of their papers we have counts for
7 papers · 1 filter
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan, Lei Qi, Lei Wang +2
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confiden…
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
Ziqi Zhou, Lei Qi, Yinghuan Shi
For medical image analysis, segmentation models trained on one or several domains lack generalization ability to unseen domains due to discrepancies between different data acquisit…
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Lihe Yang, Lei Qi, Litong Feng +2
In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image ser…
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
Lei Qi, Hongpeng Yang, Yinghuan Shi +1
Domain generalization (DG) aims at learning a model on source domains to well generalize on the unseen target domain. Although it has achieved great success, most of existing metho…
Label Distribution Learning for Generalizable Multi-source Person Re-identification
Lei Qi, Jiaying Shen, Jiaqi Liu +2
Person re-identification (Re-ID) is a critical technique in the video surveillance system, which has achieved significant success in the supervised setting. However, it is difficul…
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan, Zhen Zhao, Lei Qi +4
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization o…