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cs.CV2024
A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images
David Torpey, Lawrence Pratt, Richard Klein
Pretraining has been shown to improve performance in many domains, including semantic segmentation, especially in domains with limited labelled data. In this work, we perform a lar…
cs.CV2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
David Torpey, Richard Klein
Often, applications of self-supervised learning to 3D medical data opt to use 3D variants of successful 2D network architectures. Although promising approaches, they are significan…
cs.CV2024
Affine transformation estimation improves visual self-supervised learning
David Torpey, Richard Klein
The standard approach to modern self-supervised learning is to generate random views through data augmentations and minimise a loss computed from the representations of these views…