$Frequency learning for structured CNN filters with Gaussian fractional derivatives$

Frequency learning for structured CNN filters with Gaussian fractional derivatives

12 November 2021

Papers citing "Frequency learning for structured CNN filters with Gaussian fractional derivatives"

37 / 37 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 127 1 0 17 Sep 2024
Deep Continuous Networks Nergis Tomen S. Pintea Jan van Gemert 137 14 0 02 Feb 2024
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 63 37 0 07 Jun 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 56 19 0 25 Jan 2021
Rethinking FUN: Frequency-Domain Utilization Networks Kfir Goldberg Stav Shapiro Elad Richardson S. Avidan 47 8 0 06 Dec 2020
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function Thomio Watanabe D. Wolf 59 22 0 18 Jun 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 99 407 0 27 Feb 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 129 869 0 11 Feb 2020
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Guohao Li Pablo Arbelaez AAML 47 18 0 11 Dec 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 127 149 0 14 Oct 2019
Learning Filter Basis for Convolutional Neural Network Compression Yawei Li Shuhang Gu Luc Van Gool Radu Timofte SupR 57 99 0 23 Aug 2019
A Fourier Perspective on Model Robustness in Computer Vision Dong Yin Raphael Gontijo-Lopes Jonathon Shlens E. D. Cubuk Justin Gilmer OOD 81 502 0 21 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 63 525 0 28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 156 18,179 0 28 May 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 133 2,673 0 29 Nov 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,006 0 30 Jul 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 154 1,454 0 22 Jun 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 140 521 0 09 Apr 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 53 299 0 23 Mar 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 100 1,349 0 10 Feb 2018
Visualizing and Improving Scattering Networks Fergal Cotter N. Kingsbury 36 18 0 05 Sep 2017
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet Amarjot Singh N. Kingsbury 39 26 0 30 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 147 6,884 0 04 Jul 2017
Gabor Convolutional Networks Shangzhen Luan Baochang Zhang Chen Chen Xianbin Cao Jiawei Han Jianzhuang Liu BDL 119 344 0 03 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,892 0 17 Apr 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 59 161 0 27 Mar 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 128 711 0 14 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Structured Receptive Fields in CNNs J. Jacobsen Jan van Gemert Zhongyu Lou A. Smeulders 62 107 0 10 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 156 7,501 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
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
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,284 0 16 Dec 2013
Invariant Scattering Convolution Networks Joan Bruna S. Mallat 131 1,279 0 05 Mar 2012
Group Invariant Scattering S. Mallat 123 991 0 12 Jan 2011