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cs.CV2024
Capsule Network Projectors are Equivariant and Invariant Learners
Miles Everett, Aiden Durrant, Mingjun Zhong +1
Learning invariant representations has been the long-standing approach to self-supervised learning. However, recently progress has been made in preserving equivariant properties in…
cs.CV2024
Masked Capsule Autoencoders
Miles Everett, Mingjun Zhong, Georgios Leontidis
We propose Masked Capsule Autoencoders (MCAE), the first Capsule Network that utilises pretraining in a modern self-supervised paradigm, specifically the masked image modelling fra…
cs.CV2023
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Miles Everett, Mingjun Zhong, Georgios Leontidis
Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Netwo…