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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

SubSpace Capsule Network

February 1, 2023

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Authors

Marzieh Edraki

University of Central Florida


Nazanin Rahnavard

University of Central Florida


Mubarak Shah

Center for Research in Computer Vision


DOI:

10.1609/aaai.v34i07.6703


Abstract:

Convolutional neural networks (CNNs) have become a key asset to most of fields in AI. Despite their successful performance, CNNs suffer from a major drawback. They fail to capture the hierarchy of spatial relation among different parts of an entity. As a remedy to this problem, the idea of capsules was proposed by Hinton. In this paper, we propose the SubSpace Capsule Network (SCN) that exploits the idea of capsule networks to model possible variations in the appearance or implicitly-defined properties of an entity through a group of capsule subspaces instead of simply grouping neurons to create capsules. A capsule is created by projecting an input feature vector from a lower layer onto the capsule subspace using a learnable transformation. This transformation finds the degree of alignment of the input with the properties modeled by the capsule subspace.We show that SCN is a general capsule network that can successfully be applied to both discriminative and generative models without incurring computational overhead compared to CNN during test time. Effectiveness of SCN is evaluated through a comprehensive set of experiments on supervised image classification, semi-supervised image classification and high-resolution image generation tasks using the generative adversarial network (GAN) framework. SCN significantly improves the performance of the baseline models in all 3 tasks.

Topics: AAAI

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HOW TO CITE:

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah SubSpace Capsule Network Proceedings of the AAAI Conference on Artificial Intelligence (2020) 10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah SubSpace Capsule Network AAAI 2020, 10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah (2020). SubSpace Capsule Network. Proceedings of the AAAI Conference on Artificial Intelligence, 10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. SubSpace Capsule Network. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. 2020. SubSpace Capsule Network. "Proceedings of the AAAI Conference on Artificial Intelligence". 10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. (2020) "SubSpace Capsule Network", Proceedings of the AAAI Conference on Artificial Intelligence, p.10745-10753

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah, "SubSpace Capsule Network", AAAI, p.10745-10753, 2020.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. "SubSpace Capsule Network". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. "SubSpace Capsule Network". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 10745-10753.

Marzieh Edraki||Nazanin Rahnavard||Mubarak Shah. SubSpace Capsule Network. AAAI[Internet]. 2020[cited 2023]; 10745-10753.


ISSN: 2374-3468


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