Multi-Granularity Episodic Contrastive Learning for Few-Shot Learning

Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies

(2022) Yi Yang et al.   Frontiers of Information Technology & Electronic Engineering

Local Descriptor-based Multi-Prototype Network for Few-shot Learning

(2021) Hongwei Huang et al.   PATTERN RECOGNITION

Temperature network for few-shot learning with distribution-aware large-margin metric

(2021) Wei Zhu et al.   PATTERN RECOGNITION

Unsupervised meta-learning for few-shot learning

(2021) Hui Xu et al.   PATTERN RECOGNITION

Periphery-aware COVID-19 diagnosis with contrastive representation enhancement

(2021) Junlin Hou et al.   PATTERN RECOGNITION

Learning hybrid ranking representation for person re-identification

(2021) Guile Wu et al.   PATTERN RECOGNITION

MetaMed: Few-shot medical image classification using gradient-based meta-learning

(2021) Rishav Singh et al.   PATTERN RECOGNITION

Identifying Visible Parts via Pose Estimation for Occluded Person Re-Identification

(2021) Jiaxu Miao et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep support vector machine for hyperspectral image classification

(2020) Onuwa Okwuashi et al.   PATTERN RECOGNITION

Few-shot activity recognition with cross-modal memory network

(2020) Lingling Zhang et al.   PATTERN RECOGNITION

Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation

(2018) Chunlei Peng et al.   PATTERN RECOGNITION