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CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
| Date | Stars |
|---|---|
| 2026-07-24 | 446 |
| 2026-07-25 | 446 |
| 2026-07-28 | 446 |
| 2026-07-30 | 446 |
| 2026-08-06 | 446 |
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# CapsNet CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - [What's New](https://github.com/loretoparisi/CapsNet#whats-new) # Table of Contents - [What's New](https://github.com/loretoparisi/CapsNet#whats-new) - [Abstract](https://github.com/loretoparisi/CapsNet#abstract) - [Documentation](https://github.com/loretoparisi/CapsNet#documentation) :new: - [Discussions Groups](https://github.com/loretoparisi/CapsNet#discussion-groups) - [Official Implementations](https://github.com/loretoparisi/CapsNet#official-implementations) - [Proof of Work](https://github.com/loretoparisi/CapsNet#proof-of-work) - [Implementations by Framework](https://github.com/loretoparisi/CapsNet#implementations-by-framework) - [Implementations By Dataset](https://github.com/loretoparisi/CapsNet#implementations-by-dataset) - [Implementations By Task](https://github.com/loretoparisi/CapsNet/blob/master/README.md#implementations-by-task) - [Translations](https://github.com/loretoparisi/CapsNet/blob/master/README.md#translations) - [Other Resources](https://github.com/loretoparisi/CapsNet/blob/master/README.md#other-resources) # What's New ## Webinar - [Pytorch Live Talks t.1 – Capsules and routing techniques (part 1/2)](https://youtu.be/EATWLTyLfmc), [Alfredo Canziani](https://twitter.com/alfcnz) :new: ## Implementations By Dataset ### Toxic Comment Challenge (Kaggle) - [chongjiujjin/capsule-net-with-gru](https://www.kaggle.com/chongjiujjin/capsule-net-with-gru) # Abstract We cover here the last and most interesting paper's abstract about Capsule Networks. *We introduce a new routing algorithm for capsule networks, in which a child capsule is routed to a parent based only on agreement between the parent's state and the child's vote. The new mechanism 1) designs routing via inverted dot-product attention; 2) imposes Layer Normalization as normalization; and 3) replaces sequential iterative routing with concurrent iterative routing. When compared to previously proposed routing algorithms, our method improves performance on benchmark datasets such as CIFAR-10 and CIFAR-100, and it performs at-par with a powerful CNN (ResNet-18) with 4x fewer parameters. On a different task of recognizing digits from overlayed digit images, the proposed capsule model performs favorably against CNNs given the same number of layers and neurons per layer. We believe that our work raises the possibility of applying capsule networks to complex real-world tasks. Our code is publicly available at: https://github.com/apple/ml-capsules-inverted-attention-routing An alternative implementation is available at: https://github.com/yaohungt/Capsules-Inverted-Attention-Routing/blob/master/README.md* Excerpt from [CAPSULES WITH INVERTED DOT-PRODUCT ATTENTION ROUTING](https://openreview.net/pdf?id=HJe6uANtwH), Yao-Hung Hubert Tsai, , Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov, ICLR 2020 :new: [UP](https://github.com/loretoparisi/CapsNet#CapsNet) # Documentation ## Papers - [CAPSULES WITH INVERTED DOT-PRODUCT ATTENTION ROUTING](https://openreview.net/pdf?id=HJe6uANtwH), Yao-Hung Hubert Tsai, , Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov, ICLR 2020 - [Dynamic Routing Between Capsules](https://arxiv.org/abs/1710.09829v1), Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, 26 Oct 2017 - [MATRIX CAPSULES WITH EM ROUTING](https://openreview.net/pdf?id=HJWLfGWRb), Anonymous authors, ICLR 2018 - [Does the Brain do Inverse Graphics?](http://helper.ipam.ucla.edu/publications/gss2012/gss2012_10754.pdf), Geoffrey Hinton, Alex Krizhevsky, Navdeep Jaitly, Tijmen Tieleman & Yichuan Tang, Department of Computer Science, University of Toronto, GSS 2012. - [CapsuleGAN: Generative Adversarial Capsule Network](https://arxiv.org/abs/1802.06167) Ayush Jaiswal, Wael AbdAlmageed, Premkumar Natarajan, USC Information Sciences Institute, Feb 2018 - [Brain Tumor Type Classification via Capsule Networks](https://arxiv.org/abs/1802.10200v2) Parnian Afshar, Arash Moh
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:dbfe9bbcd7472cdc, topic:pytorch, topic:tensorflow