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Miles Everett

5 papers hereh-index 452 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedLearning with Capsules: A Survey

7 citations · 13 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CV2023★ 3 cited

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…

cs.CV2023

Vanishing Activations: A Symptom of Deep Capsule Networks

Miles Everett, Mingjun Zhong, Georgios Leontidis

Capsule Networks, an extension to Neural Networks utilizing vector or matrix representations instead of scalars, were initially developed to create a dynamic parse tree where visua…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.