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
Cross-domain Few-shot Learning with Task-specific AdaptersCode1
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target DataCode1
StyleAdv: Meta Style Adversarial Training for 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
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter OptimizationCode1
Cross-Domain Few-Shot Learning by Representation FusionCode1
Revisiting Prototypical Network for Cross Domain Few-Shot LearningCode1
Self-Supervision Can Be a Good Few-Shot LearnerCode1
Shallow Bayesian Meta Learning for Real-World Few-Shot RecognitionCode1
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot 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
Universal Representations: A Unified Look at Multiple Task and Domain LearningCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
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
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot LearningCode1
Domain Adaptive Few-Shot Open-Set LearningCode1
DAMSL: Domain Agnostic Meta Score-based LearningCode0
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled DataCode0
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot LearningCode0
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot LearningCode0
A Transductive Multi-Head Model for Cross-Domain Few-Shot LearningCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware PromptingCode0
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot LearningCode0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot LearningCode0
Modular Adaptation for Cross-Domain Few-Shot LearningCode0
Cross-Domain Few-Shot Learning via Adaptive Transformer NetworksCode0
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot LearningCode0
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised AutoencoderCode0
Enhancing Masked Time-Series Modeling via Dropping PatchesCode0
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
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