Building Deep, Equivariant Capsule Networks

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Building Deep, Equivariant Capsule Networks

4 August 2019

Sairaam Venkatraman

S. Balasubramanian

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Papers citing "Building Deep, Equivariant Capsule Networks"

9 / 9 papers shown

Title
Robustcaps: a transformation-robust capsule network for image classification Saindhavi Venkataraman S. Balasubramanian R. R. Sarma 56 2 0 20 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim Alex Schwing Minh Do Raymond A. Yeh 68 11 0 14 Oct 2022
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary Sairaam Venkatraman Ankit Anand S. Balasubramanian R. R. Sarma 53 6 0 04 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 163 60 0 02 Oct 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 114 9 0 30 Jun 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 115 91 0 07 Feb 2020
No Routing Needed Between Capsules Adam Byerly T. Kalganova I. Dear 131 67 0 24 Jan 2020
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network Yanxing Wang Jianxing Hu Junyong Lai Yibo Li Hongwei Jin L. Zhang L. Zhang Zhenming Liu MedIm 46 12 0 24 Dec 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks Adam Byerly T. Kalganova 65 13 0 20 Jun 2019