most citedUnsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training

3 citations · 5 across the 3 of their papers we have counts for

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cs.CV2023★ 2 cited

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Mingze Yuan, Yingda Xia, Hexin Dong +13

Real-world medical image segmentation has tremendous long-tailed complexity of objects, among which tail conditions correlate with relatively rare diseases and are clinically signi…

cs.CV2021★ 3 cited

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training

Hexin Dong, Fei Yu, Jie Zhao +2

This paper proposes an unsupervised cross-modality domain adaptation approach based on pixel alignment and self-training. Pixel alignment transfers ceT1 scans to hrT2 modality, hel…