mlsanityData to 14 Oct 2026

Image to Image Translation for Domain Adaptation

arXiv 1712.00479 ↗First posted 1 Dec 2017cs.CVcited by 171

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Abstract (arXiv)

We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. This is achieved by adding extra networks and losses that help regularize the features extracted by the backbone encoder network. To this end we propose the novel use of the recently proposed unpaired image-toimage translation framework to constrain the features extracted by the encoder network. Specifically, we require that the features extracted are able to reconstruct the images in both domains. In addition we require that the distribution of features extracted from images in the two domains are indistinguishable. Many recent works can be seen as specific cases of our general framework. We apply our method for domain adaptation between MNIST, USPS, and SVHN datasets, and Amazon, Webcam and DSLR Office datasets in classification tasks, and also between GTA5 and Cityscapes datasets for a segmentation task. We demonstrate state of the art performance on each of these datasets.

Key facts. Cited by 171 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2017.

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Citing papers per year: 2020: 1; 2021: 62; 2022: 41; 2023: 32; 2024: 22; 2025: 6; 2026: 7.

171 papers.

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  1. 2021DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effortcited by 264
  2. 2021RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whiteningcited by 215
  3. 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
  4. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  5. 2021MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detectioncited by 106
  6. 2021Model-Based Domain Generalizationcited by 104
  7. 2021Progressive Domain Expansion Network for Single Domain Generalizationcited by 97
  8. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  9. 2021Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptationcited by 83
  10. 2021PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Trainingcited by 80
  11. 2022Semantic-Aware Domain Generalized Segmentationcited by 79
  12. 2021Category Contrast for Unsupervised Domain Adaptation in Visual Taskscited by 65
38 more
  1. 2022Balancing Discriminability and Transferability for Source-Free Domain Adaptationcited by 58
  2. 2021Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentationcited by 57
  3. 2021CLDA: Contrastive Learning for Semi-Supervised Domain Adaptationcited by 52
  4. 2022Semi-Supervised and Unsupervised Deep Visual Learning: A Surveycited by 52
  5. 2023C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptationcited by 50
  6. 2021Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixingcited by 49
  7. 2022Evaluation Gaps in Machine Learning Practicecited by 49
  8. 2022Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentationcited by 47
  9. 2022A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Predictioncited by 46
  10. 2021Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Densitycited by 44
  11. 2021Your Classifier can Secretly Suffice Multi-Source Domain Adaptationcited by 42
  12. 2021Uncertainty-guided Model Generalization to Unseen Domainscited by 41
  13. 2022Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentationcited by 40
  14. 2022BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptationcited by 39
  15. 2021Transporting Causal Mechanisms for Unsupervised Domain Adaptationcited by 38
  16. 2023Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentationcited by 38
  17. 2021Bridging the Gap between Events and Frames through Unsupervised Domain Adaptationcited by 37
  18. 2021Domain Generalization via Inference-time Label-Preserving Target Projectionscited by 35
  19. 2024Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentationcited by 34
  20. 2021LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentationcited by 33
  21. 2021Unsupervised Domain Generalization by Learning a Bridge Across Domainscited by 33
  22. 2021BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentationcited by 31
  23. 2022FIFO: Learning Fog-invariant Features for Foggy Scene Segmentationcited by 31
  24. 2023ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systemscited by 30
  25. 2023Upcycling Models under Domain and Category Shiftcited by 29
  26. 2021Learning optical flow from still imagescited by 28
  27. 2024360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypescited by 28
  28. 2021CoMoGAN: continuous model-guided image-to-image translationcited by 27
  29. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
  30. 2023Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentationcited by 27
  31. 2021Dual Path Learning for Domain Adaptation of Semantic Segmentationcited by 26
  32. 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalizationcited by 24
  33. 2022On the Road to Online Adaptation for Semantic Image Segmentationcited by 23
  34. 2022Controllable and Guided Face Synthesis for Unconstrained Face Recognitioncited by 22
  35. 2022Unsupervised Continual Semantic Adaptation through Neural Renderingcited by 22
  36. 2021Memory-guided Unsupervised Image-to-image Translationcited by 21
  37. 2021Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentationcited by 20
  38. 2021Bi-level Feature Alignment for Versatile Image Translation and Manipulationcited by 20

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