{"total":19,"rows":[{"id":"2111.11432","title":"Florence: A New Foundation Model for Computer Vision","created":"2021-11-22","cited_by_count":804,"area":null},{"id":"2104.14385","title":"Cross-Domain Few-Shot Classification via Adversarial Task Augmentation","created":"2021-04-29","cited_by_count":63,"area":null},{"id":"2302.09309","title":"StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning","created":"2023-02-18","cited_by_count":53,"area":null},{"id":"2108.05028","title":"Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder","created":"2021-08-11","cited_by_count":51,"area":null},{"id":"2107.11978","title":"Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data","created":"2021-07-26","cited_by_count":48,"area":null},{"id":"2112.00260","title":"Ranking Distance Calibration for Cross-Domain Few-Shot Learning","created":"2021-12-01","cited_by_count":27,"area":null},{"id":"2203.07656","title":"Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning","created":"2022-03-15","cited_by_count":23,"area":null},{"id":"2104.02638","title":"Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark","created":"2021-04-06","cited_by_count":16,"area":null},{"id":"2306.10511","title":"Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning","created":"2023-06-18","cited_by_count":15,"area":null},{"id":"2404.10322","title":"Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation","created":"2024-04-16","cited_by_count":14,"area":null},{"id":"2403.01966","title":"Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning","created":"2024-03-04","cited_by_count":13,"area":null},{"id":"2412.00767","title":"Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting","created":"2024-12-01","cited_by_count":10,"area":null},{"id":"2411.10070","title":"Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning","created":"2024-11-15","cited_by_count":5,"area":null},{"id":"2412.09073","title":"SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning","created":"2024-12-12","cited_by_count":5,"area":null},{"id":"2208.08015","title":"Cross-Domain Few-Shot Classification via Inter-Source Stylization","created":"2022-08-17","cited_by_count":4,"area":null},{"id":"2112.06320","title":"Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning","created":"2021-12-12","cited_by_count":3,"area":null},{"id":"2303.09253","title":"A Survey of Deep Visual Cross-Domain Few-Shot Learning","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2511.14279","title":"Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning","created":"2025-11-18","cited_by_count":2,"area":null},{"id":"2111.00007","title":"Domain Agnostic Few-Shot Learning For Document Intelligence","created":"2021-10-29","cited_by_count":1,"area":null}],"next_cursor":null}