SOTAVerified

cross-domain few-shot learning

Its essence is transfer learning. The model needs to be trained in the source domain and then migrated to the target domain. Compliant with (1) the category in the target domain has never appeared in the source domain (2) the data distribution of the target domain is inconsistent with the source domain (3) each class in the target domain has very few labels

Papers

Showing 125 of 74 papers

TitleStatusHype
Self-Supervision Can Be a Good Few-Shot LearnerCode1
Dual Adaptive Representation Alignment for Cross-domain Few-shot LearningCode1
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot LearningCode1
Revisiting Prototypical Network for Cross Domain Few-Shot LearningCode1
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot LearningCode1
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled DataCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression RecognitionCode1
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot LearningCode1
Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionCode1
Cross-Domain Few-Shot Learning by Representation FusionCode1
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot DifficultyCode1
Universal Representations: A Unified Look at Multiple Task and Domain LearningCode1
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter OptimizationCode1
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot LearningCode1
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot LearningCode1
Cross-domain Few-shot Learning with Task-specific AdaptersCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot LearningCode1
Domain Adaptive Few-Shot Open-Set LearningCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Cross Domain Few-Shot Learning via Meta Adversarial Training0
A Survey of Deep Visual Cross-Domain Few-Shot Learning0
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning0
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