mlsanityData to 7 Oct 2026

One-Shot Unsupervised Cross Domain Translation

arXiv 1806.06029 ↗First posted 15 Jun 2018cs.CVcited by 35

Not on the map. Why?

Abstract (arXiv)

Given a single image x from domain A and a set of images from domain B, our task is to generate the analogous of x in B. We argue that this task could be a key AI capability that underlines the ability of cognitive agents to act in the world and present empirical evidence that the existing unsupervised domain translation methods fail on this task. Our method follows a two step process. First, a variational autoencoder for domain B is trained. Then, given the new sample x, we create a variational autoencoder for domain A by adapting the layers that are close to the image in order to directly fit x, and only indirectly adapt the other layers. Our experiments indicate that the new method does as well, when trained on one sample x, as the existing domain transfer methods, when these enjoy a multitude of training samples from domain A. Our code is made publicly available at https://github.com/sagiebenaim/OneShotTranslation

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jun 2018.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 12; 2022: 11; 2023: 9; 2024: 3.

35 papers.

Sort:

By area:

  1. 2022A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunitiescited by 162
  2. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  3. 2021LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5cited by 103
  4. 2021MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaptioncited by 65
  5. 2021Source-Free Domain Adaptation for Image Segmentationcited by 45
  6. 2023One-shot Unsupervised Domain Adaptation with Personalized Diffusion Modelscited by 35
  7. 2022Continual Training of Language Models for Few-Shot Learningcited by 33
  8. 2022Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentationcited by 17
  9. 2021Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentationcited by 15
  10. 2023Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Surveycited by 14
  11. 2022Learning Instance-Specific Adaptation for Cross-Domain Segmentationcited by 13
  12. 2023SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoderscited by 11
23 more
  1. 2021What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Datacited by 10
  2. 2021Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learningcited by 9
  3. 2023AGI for Agriculturecited by 9
  4. 2022TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervisioncited by 8
  5. 2024Dual-path Frequency Discriminators for Few-shot Anomaly Detectioncited by 7
  6. 2021MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samplescited by 6
  7. 2022Few-shot Image Generation Using Discrete Content Representationcited by 6
  8. 2021Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplarcited by 5
  9. 2021Few-shot Semantic Image Synthesis Using StyleGAN Priorcited by 4
  10. 2022Metric Based Few-Shot Graph Classificationcited by 4
  11. 2021Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detectioncited by 3
  12. 2022Guided Deep Metric Learningcited by 3
  13. 2022One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformerscited by 3
  14. 2023Domain-Scalable Unpaired Image Translation via Latent Space Anchoringcited by 2
  15. 2024Learning Gaze-aware Compositional GANcited by 2
  16. 2023ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encodercited by 1
  17. 2023MODIFY: Model-driven Face Stylization without Style Imagescited by 1
  18. 2023Target-driven One-Shot Unsupervised Domain Adaptationcited by 1
  19. 2024FLIER: Few-shot Language Image Models Embedded with Latent Representationscited by 1
  20. 2021Exploring Data Aggregation and Transformations to Generalize across Visual Domainscited by 0
  21. 2022Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexitycited by 0
  22. 2022CobNet: Cross Attention on Object and Background for Few-Shot Segmentationcited by 0
  23. 2023Few-shot Face Image Translation via GAN Prior Distillationcited by 0