Sparse Unsupervised Capsules Generalize Better

17 April 2018

Papers citing "Sparse Unsupervised Capsules Generalize Better"

11 / 11 papers shown

Title
CapsFlow: Optical Flow Estimation with Capsule Networks Rahul Chand Rajat Arora K. Prabhakar R. Venkatesh Babu 3DPC 8 0 0 01 Apr 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption Matthias Mitterreiter Marcel Koch Joachim Giesen Soren Laue 3DPC MedIm 25 13 0 04 Jan 2023
Effectiveness of the Recent Advances in Capsule Networks Nidhin Harilal Rohan Patil 29 0 0 11 Oct 2022
A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals Luis Guarda Juan Tapia E. Droguett M. Ramos 21 27 0 04 Apr 2022
Enabling equivariance for arbitrary Lie groups L. MacDonald Sameera Ramasinghe Simon Lucey AAML 27 25 0 16 Nov 2021
Effective and Efficient Vote Attack on Capsule Networks Jindong Gu Baoyuan Wu Volker Tresp AAML 17 26 0 19 Feb 2021
Unsupervised part representation by Flow Capsules S. Sabour Andrea Tagliasacchi S. Yazdani Geoffrey E. Hinton David J. Fleet 3DPC OCL 30 37 0 27 Nov 2020
Capsule Networks Need an Improved Routing Algorithm Inyoung Paik Taeyeong Kwak Injung Kim 27 35 0 31 Jul 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations Subutai Ahmad Luiz Scheinkman 33 96 0 27 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 69 0 25 Jan 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016