3 citations · 6 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
Ljubisa Bojic, Dylan Seychell, Milan Cabarkapa
As general-purpose artificial intelligence systems become increasingly integrated into society and are used for information seeking, content generation, problem solving, textual an…