mlsanityData to 14 Oct 2026

All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation

arXiv 1903.12212 ↗First posted 26 Mar 2019cs.CVcited by 104

Not on the map. Why?

Abstract (arXiv)

In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation. With the hypothesis that the structural content of images is the most informative and decisive factor to semantic segmentation and can be readily shared across domains, we propose a Domain Invariant Structure Extraction (DISE) framework to disentangle images into domain-invariant structure and domain-specific texture representations, which can further realize image-translation across domains and enable label transfer to improve segmentation performance. Extensive experiments verify the effectiveness of our proposed DISE model and demonstrate its superiority over several state-of-the-art approaches.

Key facts. Cited by 104 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Mar 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 44; 2022: 31; 2023: 23; 2024: 3; 2025: 3.

104 papers.

Sort:

By area:

  1. 2021Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentationcited by 268
  2. 2021Self-supervised Augmentation Consistency for Adapting Semantic Segmentationcited by 149
  3. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  4. 2021Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentationcited by 81
  5. 2021DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentationcited by 80
  6. 2021Context-Aware Mixup for Domain Adaptive Semantic Segmentationcited by 79
  7. 2022Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentationcited by 72
  8. 2022Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentationcited by 47
  9. 2023Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentationcited by 47
  10. 2021Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalizationcited by 46
  11. 2022Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentationcited by 46
  12. 2021Source-Free Domain Adaptation for Image Segmentationcited by 45
38 more
  1. 2021Multi-Target Domain Adaptation with Collaborative Consistency Learningcited by 43
  2. 2023All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenescited by 41
  3. 2021Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentationcited by 39
  4. 2021DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchangecited by 36
  5. 2021Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptationcited by 34
  6. 2022Generative Domain Adaptation for Face Anti-Spoofingcited by 33
  7. 2021PIT: Position-Invariant Transform for Cross-FoV Domain Adaptationcited by 30
  8. 2021Domain Adaptive Semantic Segmentation without Source Datacited by 30
  9. 2021Self-Adversarial Disentangling for Specific Domain Adaptationcited by 29
  10. 2021Multi-Anchor Active Domain Adaptation for Semantic Segmentationcited by 29
  11. 2023Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Drivingcited by 29
  12. 2025OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentationcited by 28
  13. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
  14. 2021Dual Path Learning for Domain Adaptation of Semantic Segmentationcited by 26
  15. 2021Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understandingcited by 26
  16. 2023Balancing Logit Variation for Long-tailed Semantic Segmentationcited by 26
  17. 2021Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentationcited by 23
  18. 2022On the Road to Online Adaptation for Semantic Image Segmentationcited by 23
  19. 2022Learning from Future: A Novel Self-Training Framework for Semantic Segmentationcited by 21
  20. 2023FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentationcited by 21
  21. 2023Learning to Adapt SAM for Segmenting Cross-domain Point Cloudscited by 20
  22. 2021Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Surveycited by 19
  23. 2021Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagerycited by 18
  24. 2021Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehiclescited by 16
  25. 2022Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentationcited by 16
  26. 2022Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restorationcited by 16
  27. 2021Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentationcited by 15
  28. 2021Contrastive Vicinal Space for Unsupervised Domain Adaptationcited by 14
  29. 2023Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentationcited by 14
  30. 2021Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningcited by 13
  31. 2021Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentationcited by 13
  32. 2021Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentationcited by 12
  33. 2022Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentationcited by 12
  34. 2023GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatescited by 12
  35. 2021A Curriculum-style Self-training Approach for Source-Free Semantic Segmentationcited by 11
  36. 2022Urban Scene Semantic Segmentation with Low-Cost Coarse Annotationcited by 11
  37. 2021A New Bidirectional Unsupervised Domain Adaptation Segmentation Frameworkcited by 10
  38. 2021Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundariescited by 10

50 most cited of 104 All 104 (JSON)