Capsule Network Projectors are Equivariant and Invariant Learners

23 May 2024

Papers citing "Capsule Network Projectors are Equivariant and Invariant Learners"

10 / 10 papers shown

Title
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method Miles Everett Mingjun Zhong Georgios Leontidis 65 4 0 19 Jul 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption Matthias Mitterreiter Marcel Koch Joachim Giesen Soren Laue 3DPC MedIm 57 13 0 04 Jan 2023
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 72 314 0 14 Apr 2022
Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee Kibok Lee Kimin Lee Honglak Lee Jinwoo Shin SSL 52 51 0 18 Nov 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 125 917 0 11 May 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 163 192 0 02 May 2021
Pushing the Limits of Capsule Networks P. Nair Rohan Doshi Stefan Keselj 29 32 0 15 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 243 2,321 0 04 Mar 2021
Capsule Routing via Variational Bayes Fabio De Sousa Ribeiro Georgios Leontidis Stefanos D. Kollias 51 82 0 27 May 2019
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 124 4,584 0 26 Oct 2017