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
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot LearningCode1
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot LearningCode1
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot LearningCode1
Domain Adaptive Few-Shot Open-Set LearningCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Dual Adaptive Representation Alignment for Cross-domain Few-shot LearningCode1
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot LearningCode1
Revisiting Prototypical Network for Cross Domain Few-Shot LearningCode1
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot LearningCode1
Self-Supervision Can Be a Good Few-Shot LearnerCode1
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression RecognitionCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Universal Representations: A Unified Look at Multiple Task and Domain LearningCode1
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot DifficultyCode1
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
Cross-domain Few-shot Learning with Task-specific AdaptersCode1
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter OptimizationCode1
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled DataCode1
Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionCode1
Cross-Domain Few-Shot Learning by Representation FusionCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning—0
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping—0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning—0
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning—0
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning—0
Enhancing Masked Time-Series Modeling via Dropping PatchesCode0
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot LearningCode0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning—0
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware PromptingCode0
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot LearningCode0
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models—0
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition—0
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)—0
Cross-Domain Few-Shot Learning via Adaptive Transformer NetworksCode0
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot LearningCode0
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning—0
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
A Survey of Deep Visual Cross-Domain Few-Shot Learning—0
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
Task-aware Adaptive Learning for Cross-domain Few-shot Learning—0
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot LearningCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning—0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot LearningCode0
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