SOTAVerified

Cross-Domain Few-Shot

Papers

Showing 101141 of 141 papers

TitleStatusHype
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning0
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer0
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot LearningCode0
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification0
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?0
Cross Domain Few-Shot Learning via Meta Adversarial Training0
Cross-Domain Few-Shot Graph ClassificationCode0
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework0
FrLove : Could a Frenchman rapidly identify Lovecraft?0
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot LearningCode0
Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer0
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning0
Ranking Distance Calibration for Cross-Domain Few-Shot Learning0
CQARE: Contrastive Question-Answering for Few-shot Relation Extraction with Prompt Tuning0
Domain Agnostic Few-Shot Learning For Document Intelligence0
Contextual Gradient Scaling for Few-Shot LearningCode0
On Label-Efficient Computer Vision: Building Fast and Effective Few-Shot Image ClassifiersCode0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning0
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning0
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification0
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition0
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised AutoencoderCode0
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification0
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift0
DAMSL: Domain Agnostic Meta Score-based LearningCode0
Modular Adaptation for Cross-Domain Few-Shot LearningCode0
Cross-domain few-shot learning with unlabelled data0
Machine learning with limited data0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning0
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification0
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition0
A Transductive Multi-Head Model for Cross-Domain Few-Shot LearningCode0
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled DataCode0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning0
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
Few-Shot Learning with Graph Neural NetworksCode0
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