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Found 4 papers, 0 papers with code
Masked Capsule Autoencoders
We propose Masked Capsule Autoencoders (MCAE), the first Capsule Network that utilises pretraining in a self-supervised manner.
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Our findings underscore the potential of our proposed methodology in enhancing the operational efficiency and performance of Capsule Networks, paving the way for their application in increasingly complex computational scenarios.
Vanishing Activations: A Symptom of Deep Capsule Networks
This paper extends the investigation to a range of leading Capsule Network architectures, demonstrating that these issues are not confined to the original design.
Learning with Capsules: A Survey
The aim of this survey is to provide a comprehensive overview of the capsule network research landscape, which will serve as a valuable resource for the community going forward.
