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Found 3 papers, 1 papers with code
LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
Herein, we introduce "Look and Diagnose" (LAD), a hybrid deep learning-based system that aims to support doctors in the medical field in diagnosing effectively the Benign Paroxysmal Positional Vertigo (BPPV) disorder.
Forget-free Continual Learning with Winning Subnetworks
Inspired by Lottery Ticket Hypothesis that competitive subnetworks exist within a dense network, we propose a continual learning method referred to as Winning SubNetworks (WSN), which sequentially learns and selects an optimal subnetwork for each task.
Self-supervised Learning with Local Attention-Aware Feature
In this work, we propose a novel methodology for self-supervised learning for generating global and local attention-aware visual features.
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