CapsNet vs CNN: Analysis of the Effects of Varying Feature Spatial Arrangement

Citation

Manogaran, Ugenteraan and Wong, Ya Ping and Ng, Boon Yian (2022) CapsNet vs CNN: Analysis of the Effects of Varying Feature Spatial Arrangement. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

CapsNet was introduced in 2018 to solve 2 problems in CNN. - Rotational Invariance - Retention of spatial relationship among features. - Many research has been done improving on the CapsNet while speculating the advantages over CNN.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Spatial
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 20 Dec 2022 04:14
Last Modified: 20 Dec 2022 04:14
URII: http://shdl.mmu.edu.my/id/eprint/10954

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