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04/20/2023
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images
This work presents a novel label-efficient selfsupervised representation...
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04/19/2023
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
This work presents a novel domain adaption paradigm for studying contras...
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02/08/2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
Deep perceptual loss is a type of loss function in computer vision that ...
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10/18/2022
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
This work presents a novel self-supervised representation learning metho...
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10/13/2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks
This work aims to integrate two learning paradigms Multi-Task Learning (...
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05/05/2022
Deep Neural Network approaches for Analysing Videos of Music Performances
This paper presents a framework to automate the labelling process for ge...
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03/15/2022
