1 citations · 1 across the 2 of their papers we have counts for
3 papers
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images
Isaac Ronald Ward, Charles Moore, Kai Pak +2
Contrastive learning has recently demonstrated superior performance to supervised learning, despite requiring no training labels. We explore how contrastive learning can be applied…
RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques
Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun
Object detection from RGB images is a long-standing problem in image processing and computer vision. It has applications in various domains including robotics, surveillance, human-…
Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function
Isaac Ronald Ward, M. A. Asim K. Jalwana, Mohammed Bennamoun
This work investigates the impact of the loss function on the performance of Neural Networks, in the context of a monocular, RGB-only, image localization task. A common technique u…