1 citations · 2 across the 5 of their papers we have counts for
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cs.CV2024★ 1 cited
Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
Matthias Bartolo, Dylan Seychell
As object detection techniques continue to evolve, understanding their relationships with complementary visual tasks becomes crucial for optimising model architectures and computat…
cs.SD2024
Deep Learning for Speaker Identification: Architectural Insights from AB-1 Corpus Analysis and Performance Evaluation
Matthias Bartolo
In the fields of security systems, forensic investigations, and personalized services, the importance of speech as a fundamental human input outweighs text-based interactions. This…
cs.CV2024★ 1 cited
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection
Matthias Bartolo, Dylan Seychell, Josef Bajada
With the ever-growing variety of object detection approaches, this study explores a series of experiments that combine reinforcement learning (RL)-based visual attention methods wi…