mlsanityData to 7 Oct 2026

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

arXiv 1811.12833 ↗First posted 30 Nov 2018cs.CVcited by 623

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Abstract (arXiv)

Semantic segmentation is a key problem for many computer vision tasks. While approaches based on convolutional neural networks constantly break new records on different benchmarks, generalizing well to diverse testing environments remains a major challenge. In numerous real world applications, there is indeed a large gap between data distributions in train and test domains, which results in severe performance loss at run-time. In this work, we address the task of unsupervised domain adaptation in semantic segmentation with losses based on the entropy of the pixel-wise predictions. To this end, we propose two novel, complementary methods using (i) entropy loss and (ii) adversarial loss respectively. We demonstrate state-of-the-art performance in semantic segmentation on two challenging "synthetic-2-real" set-ups and show that the approach can also be used for detection.

Key facts. Cited by 623 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Nov 2018.

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Citing papers per year: 2021: 167; 2022: 146; 2023: 136; 2024: 94; 2025: 58; 2026: 22.

623 papers.

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  1. 2021DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentationcited by 299
  2. 2021Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentationcited by 268
  3. 2021DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effortcited by 264
  4. 2021RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whiteningcited by 213
  5. 2022Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentationcited by 177
  6. 2022MIC: Masked Image Consistency for Context-Enhanced Domain Adaptationcited by 176
  7. 2021Source-Free Domain Adaptation for Semantic Segmentationcited by 168
  8. 2021FSDR: Frequency Space Domain Randomization for Domain Generalizationcited by 163
  9. 2022HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentationcited by 163
  10. 2021Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Datacited by 152
  11. 2021Self-supervised Augmentation Consistency for Adapting Semantic Segmentationcited by 149
  12. 2022SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptationcited by 146
38 more
  1. 2023EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizationcited by 123
  2. 2023Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentationcited by 115
  3. 2022Robust Mean Teacher for Continual and Gradual Test-Time Adaptationcited by 102
  4. 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptationcited by 101
  5. 2021Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformercited by 99
  6. 2021Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representationscited by 96
  7. 2022Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentationcited by 88
  8. 2022SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentationcited by 87
  9. 2021SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentationcited by 86
  10. 2021Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentationcited by 81
  11. 2021DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentationcited by 80
  12. 2021Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimationcited by 80
  13. 2021PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Trainingcited by 80
  14. 2021Context-Aware Mixup for Domain Adaptive Semantic Segmentationcited by 79
  15. 2021Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigationcited by 78
  16. 2022Semantic-Aware Domain Generalized Segmentationcited by 78
  17. 2021Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentationcited by 76
  18. 2022MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentationcited by 76
  19. 2021Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyondcited by 75
  20. 2022WildNet: Learning Domain Generalized Semantic Segmentation from the Wildcited by 75
  21. 2022Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentationcited by 74
  22. 2022PolarMix: A General Data Augmentation Technique for LiDAR Point Cloudscited by 74
  23. 2022Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentationcited by 71
  24. 2022Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentationcited by 69
  25. 2021Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptationcited by 67
  26. 2021Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformationcited by 67
  27. 2022Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypescited by 67
  28. 2021Category Contrast for Unsupervised Domain Adaptation in Visual Taskscited by 65
  29. 2023Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correctioncited by 65
  30. 2022Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervisioncited by 64
  31. 2021A Prototype-Oriented Framework for Unsupervised Domain Adaptationcited by 62
  32. 2021Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labelingcited by 61
  33. 2021Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentationcited by 61
  34. 2022PODA: Prompt-driven Zero-shot Domain Adaptationcited by 60
  35. 2021Uncertainty-Aware Unsupervised Domain Adaptation in Object Detectioncited by 59
  36. 2022Transferability in Deep Learning: A Surveycited by 57
  37. 2022Semi-supervised Semantic Segmentation with Error Localization Networkcited by 57
  38. 2021Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentationcited by 56

50 most cited of 623 All 623 (JSON)