Post-Stroke Hand Gesture Recognition via One-Shot Transfer Learning Using Prototypical Networks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery,
post-stroke   hand gesture recognition   machine learning   prototypical networks   few-shot learning  

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...

Balancing Feature Alignment and Uniformity for Few-Shot Classification

Balancing Feature Alignment and Uniformity for Few-Shot Classification

Information Science, Artificial Intelligence,
few-shot learning   mutual information   feature representation   knowledge distillation   self-supervised augmentation  

Solving Few-Shot Classification Problems with Balanced Feature Alignment and Uniformity Background and Motivation The goal of Few-Shot Learning (FSL) is to correctly recognize new samples with only a few examples from new classes. Existing few-shot learning methods mainly learn transferable knowledge from base classes by maximizing the information ...