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 5174 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 Training0
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework0
FrLove : Could a Frenchman rapidly identify Lovecraft?0
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
Domain Agnostic Few-Shot Learning For Document Intelligence0
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning0
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning0
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
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
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition0
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-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
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