Increasing the adversarial robustness and explainability of capsule
networks with $γ$-capsules

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Increasing the adversarial robustness and explainability of capsule networks with $γ$ -capsules

23 December 2018

Sebastian Stabinger

A. Rodríguez-Sánchez

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Papers citing "Increasing the adversarial robustness and explainability of capsule networks with $γ$-capsules"

7 / 7 papers shown

Title
Affordance detection with Dynamic-Tree Capsule NetworksIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022 A. Rodríguez-Sánchez Simon Haller-Seeber David Peer Chris Engelhardt Jakob Mittelberger Matteo Saveriano 3DPC 104 2 0 09 Nov 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 110 2 0 28 Feb 2022
Momentum Capsule Networks Josef Gugglberger David Peer A. Rodríguez-Sánchez 3DPC 179 2 0 26 Jan 2022
Training Deep Capsule Networks with Residual ConnectionsInternational Conference on Artificial Neural Networks (ICANN), 2021 Josef Gugglberger David Peer A. Rodríguez-Sánchez 3DPC MedIm 137 14 0 15 Apr 2021
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal David Peer Sebastian Stabinger A. Rodríguez-Sánchez 115 5 0 07 Mar 2021
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks David Peer Sebastian Stabinger A. Rodríguez-Sánchez 87 6 0 05 Nov 2020
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary Sairaam Venkatraman Ankit Anand S. Balasubramanian R. R. Sarma 250 7 0 04 Oct 2020