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

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Showing 1–50 of 74 papers

TitleStatusHype
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot LearningCode1
Dual Adaptive Representation Alignment for Cross-domain Few-shot LearningCode1
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled DataCode1
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot LearningCode1
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot LearningCode1
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter OptimizationCode1
Cross-Domain Few-Shot Learning by Representation FusionCode1
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot LearningCode1
Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionCode1
Universal Representations: A Unified Look at Multiple Task and Domain LearningCode1
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot LearningCode1
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot DifficultyCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Self-Supervision Can Be a Good Few-Shot LearnerCode1
Cross-domain Few-shot Learning with Task-specific AdaptersCode1
Revisiting Prototypical Network for Cross Domain Few-Shot LearningCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression RecognitionCode1
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot LearningCode1
Domain Adaptive Few-Shot Open-Set LearningCode1
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework—0
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping—0
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning—0
A Survey of Deep Visual Cross-Domain Few-Shot Learning—0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning—0
Cross Domain Few-Shot Learning via Meta Adversarial Training—0
Cross-domain few-shot learning with unlabelled data—0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning—0
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
FrLove : Could a Frenchman rapidly identify Lovecraft?—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?—0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains—0
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning—0
Machine learning with limited data—0
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning—0
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning—0
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition—0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
Ranking Distance Calibration for Cross-Domain Few-Shot Learning—0
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning—0
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning—0
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