mlsanityData to 14 Oct 2026

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation

arXiv 2507.15243 ↗First posted 21 Jul 2025cs.CV cs.AI cs.LGcited by 2

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Abstract (arXiv)

Despite the progress in cross-domain few-shot learning, a model pre-trained with DINO combined with a prototypical classifier outperforms the latest SOTA methods. A crucial limitation that needs to be overcome is that updating too many parameters of the transformers leads to overfitting due to the scarcity of labeled samples. To address this challenge, we propose a new concept, coalescent projection, as an effective successor to soft prompts. Additionally, we propose a novel pseudo-class generation method, combined with self-supervised transformations, that relies solely on the base domain to prepare the network to encounter unseen samples from different domains. The proposed method exhibits its effectiveness in comprehensive experiments on the extreme domain-shift problem of the BSCD-FSL benchmark. Our code is published at hrefhttps://github.com/Naeem-Paeedeh/CPLSRhttps://github.com/Naeem-Paeedeh/CPLSR.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 32 of its 44 references that are in the map. First posted on arXiv 21 Jul 2025.

Builds on

32 of 44 references.

References · 32

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,915
  4. 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,795
  5. 2017Prototypical Networks for Few-shot Learningcited by 3,015
  6. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
  7. 2016Matching Networks for One Shot Learningcited by 2,255
  8. 2022Visual Prompt Tuningcited by 1,681
  9. 2017EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classificationcited by 1,496
  10. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 972
  11. 2021Learning to Prompt for Continual Learningcited by 944
  12. 2019Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)cited by 669
20 more
  1. 2018Meta-Learning for Semi-Supervised Few-Shot Classificationcited by 456
  2. 2016Using Deep Learning for Image-Based Plant Disease Detectioncited by 219
  3. 2023Text Embeddings Reveal (Almost) As Much As Textcited by 192
  4. 2020Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformationcited by 185
  5. 2022Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Differencecited by 126
  6. 2021Cross-Domain Few-Shot Classification via Adversarial Task Augmentationcited by 63
  7. 2020Explanation-Guided Training for Cross-Domain Few-Shot Classificationcited by 58
  8. 2023StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learningcited by 53
  9. 2023Strong Baselines for Parameter Efficient Few-Shot Fine-tuningcited by 37
  10. 2022Adversarial Feature Augmentation for Cross-domain Few-shot Classificationcited by 36
  11. 2023Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinementcited by 30
  12. 2022Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learningcited by 23
  13. 2023Dual Adaptive Representation Alignment for Cross-domain Few-shot Learningcited by 15
  14. 2023Simple Semantic-Aided Few-Shot Learningcited by 15
  15. 2024Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learningcited by 13
  16. 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learningcited by 11
  17. 2024Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Promptingcited by 9
  18. 2024PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learningcited by 8
  19. 2024Cross-Domain Few-Shot Learning via Adaptive Transformer Networkscited by 7
  20. 2023Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classificationcited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Modelcited by 0
  2. 2026Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidationcited by 0