1 citations · 3 across the 6 of their papers we have counts for
6 papers
An interpretable approach to automating the assessment of biofouling in video footage
Evelyn J. Mannix, Bartholomew A. Woodham
Biofouling$\unicode{x2013}$communities of organisms that grow on hard surfaces immersed in water$\unicode{x2013}$provides a pathway for the spread of invasive marine species and di…
Preserving Angles Improves Feature Distillation
Evelyn J. Mannix, Liam Hodgkinson, Howard Bondell
Knowledge distillation methods compress models by training a student network using the classification outputs of a high quality teacher model, but can fail to effectively transfer…
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix, Liam Hodgkinson, Howard Bondell
Interpretable computer vision models explain their classifications through comparing the distances between the local embeddings of an image and a set of prototypes that represent t…
Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR
Robert Turnbull, Evelyn Mannix
Purpose: The capacity to isolate and recognize individual characters from facsimile images of papyrus manuscripts yields rich opportunities for digital analysis. For this reason th…
A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
Evelyn Mannix, Howard Bondell
One of the early weaknesses identified in deep neural networks trained for image classification tasks was their inability to provide low confidence predictions on out-of-distributi…
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
Evelyn J. Mannix, Howard D. Bondell
In many machine learning applications, labeling datasets can be an arduous and time-consuming task. Although research has shown that semi-supervised learning techniques can achieve…