Dense and Diverse Capsule Networks: Making the Capsules Learn Better

Dense and Diverse Capsule Networks: Making the Capsules Learn Better

10 May 2018

Sai Samarth R. Phaye

Abhinav Dhall

Deepti R. Bathula

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Papers citing "Dense and Diverse Capsule Networks: Making the Capsules Learn Better"

11 / 11 papers shown

Title
Brain Tumor Type Classification via Capsule Networks Parnian Afshar Arash Mohammadi Konstantinos N. Plataniotis 60 428 0 27 Feb 2018
Capsule Network Performance on Complex Data Edgar Xi Selina Bing Yang Jin 61 214 0 10 Dec 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 177 4,602 0 26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,920 0 25 Aug 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals Gustav Larsson Michael Maire Gregory Shakhnarovich 163 941 0 24 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Highway Networks R. Srivastava Klaus Greff Jürgen Schmidhuber 181 1,773 0 03 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 483 43,685 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 188 4,951 0 06 Oct 2013