On filter design in deep convolutional neural network

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On filter design in deep convolutional neural network

29 October 2024

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Papers citing "On filter design in deep convolutional neural network"

16 / 16 papers shown

Title
Learning to ignore: rethinking attention in CNNs Firas Laakom K. Chumachenko Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 109 7 0 10 Nov 2021
Dendritic Self-Organizing Maps for Continual Learning Kosmas Pinitas Spyridon Chavlis Panayiota Poirazi CLL 53 9 0 18 Oct 2021
E-PixelHop: An Enhanced PixelHop Method for Object Classification Yijing Yang Vasileios Magoulianitis C.-C. Jay Kuo 37 13 0 07 Jul 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 347 2,362 0 04 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 49 168 0 20 Feb 2020
An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance Qiuyu Zhu Zhengyong Wang 48 16 0 10 Jun 2019
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 62 157 0 05 Oct 2018
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 786 36,881 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,297 0 25 Apr 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,902 0 12 Nov 2013