2 papers
cs.CV2025
MetaQAP - A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
Nisar Ahmed, Gulshan Saleem, Nazik Alturki +1
Image Quality Assessment (IQA) is a critical task in a wide range of applications but remains challenging due to the subjective nature of human perception and the complexity of rea…
cs.LG2021
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Riccardo Presotto, Gabriele Civitarese, Claudio Bettini
One of the major open problems in sensor-based Human Activity Recognition (HAR) is the scarcity of labeled data. Among the many solutions to address this challenge, semi-supervised…