29 citations · 71 across the 7 of their papers we have counts for
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cs.CV2021★ 11 cited
Combining Image Features and Patient Metadata to Enhance Transfer Learning
Spencer A. Thomas
In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patien…
cs.CV2021★ 29 cited
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the use of self-supervis…
cs.CV2020★ 21 cited
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas
Image clustering has recently attracted significant attention due to the increased availability of unlabelled datasets. The efficiency of traditional clustering algorithms heavily…