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 51–74 of 74 papers

TitleStatusHype
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?—0
Cross Domain Few-Shot Learning via Meta Adversarial Training—0
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework—0
FrLove : Could a Frenchman rapidly identify Lovecraft?—0
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning—0
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning—0
Ranking Distance Calibration for Cross-Domain Few-Shot Learning—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning—0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning—0
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition—0
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised AutoencoderCode0
DAMSL: Domain Agnostic Meta Score-based LearningCode0
Modular Adaptation for Cross-Domain Few-Shot LearningCode0
Cross-domain few-shot learning with unlabelled data—0
Machine learning with limited data—0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning—0
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition—0
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled DataCode0
A Transductive Multi-Head Model for Cross-Domain Few-Shot LearningCode0
Cross-Domain Few-Shot Learning with Meta Fine-Tuning—0
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
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