3 citations · 6 across the 13 of their papers we have counts for
3 papers · 2 filters
Learning Using Privileged Information for Litter Detection
Matthias Bartolo, Konstantinos Makantasis, Dylan Seychell
As litter pollution continues to rise globally, developing automated tools capable of detecting litter effectively remains a significant challenge. This study presents a novel appr…
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation
Jonathan Attard, Dylan Seychell
News videos require efficient content organisation and retrieval systems, but their unstructured nature poses significant challenges for automated processing. This paper presents a…
A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
Matthew Kenely, Dylan Seychell, Carl James Debono +1
News outlets' competition for attention in news interfaces has highlighted the need for demographically-aware saliency prediction models. Despite recent advancements in saliency de…