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MVDG: A Unified Multi-view Framework for Domain Generalization
Jian Zhang, Lei Qi, Yinghuan Shi +1
To generalize the model trained in source domains to unseen target domains, domain generalization (DG) has recently attracted lots of attention. Since target domains can not be inv…
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
Ziqi Zhou, Lei Qi, Xin Yang +2
For medical image segmentation, imagine if a model was only trained using MR images in source domain, how about its performance to directly segment CT images in target domain? This…
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization
Jintao Guo, Lei Qi, Yinghuan Shi +1
Domain generalization (DG) aims to learn a generic model from multiple observed source domains that generalizes well to arbitrary unseen target domains without further training. Th…
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework
Lei Qi, Jiaqi Liu, Lei Wang +2
Domain generalization (DG) has attracted much attention in person re-identification (ReID) recently. It aims to make a model trained on multiple source domains generalize to an uns…
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
Yinghuan Shi, Jian Zhang, Tong Ling +5
In semi-supervised medical image segmentation, most previous works draw on the common assumption that higher entropy means higher uncertainty. In this paper, we investigate a novel…
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization
Ruiqi Wang, Lei Qi, Yinghuan Shi +1
With the goal of directly generalizing trained model to unseen target domains, domain generalization (DG), a newly proposed learning paradigm, has attracted considerable attention.…