mlsanityData to 7 Oct 2026

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

arXiv 2109.14219 ↗First posted 29 Sep 2021cs.CVcited by 16

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Abstract (arXiv)

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, helping to reduce domain shift in the training segmentation model. Self-training adapts the decision boundary of the segmentation network to fit the distribution of hrT2 scans. Experiment results show that PAST has outperformed the non-UDA baseline significantly, and it received rank-2 on CrossMoDA validation phase Leaderboard with a mean Dice score of 0.8395.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 6 of its 10 references that are in the map. First posted on arXiv 29 Sep 2021.

Builds on

6 of 10 references.

References · 6

  1. 2017CyCADA: Cycle-Consistent Adversarial Domain Adaptationcited by 1,079
  2. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  3. 2019Bidirectional Learning for Domain Adaptation of Semantic Segmentationcited by 308
  4. 2021Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentationcited by 268
  5. 2020Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translationcited by 60
  6. 2020Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentationcited by 58

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 8; 2024: 0; 2025: 2; 2026: 1.

16 papers.

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  1. 2022CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentationcited by 58
  2. 2022COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Trainingcited by 20
  3. 2023COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-trainingcited by 16
  4. 2022Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learningcited by 5
  5. 2023Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentationcited by 5
  6. 2022Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentationcited by 4
  7. 2023Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptationcited by 3
  8. 2022An Unpaired Cross-modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochleacited by 1
  9. 2023Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentationcited by 1
  10. 2023Dual-level Interaction for Domain Adaptive Semantic Segmentationcited by 1
  11. 2023Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentationcited by 1
  12. 2025Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentationcited by 1
4 more
  1. 2025crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023cited by 1
  2. 2023Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptationcited by 0
  3. 2023Image-level supervision and self-training for transformer-based cross-modality tumor segmentationcited by 0
  4. 2026IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptationcited by 0