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Frequency learning for structured CNN filters with Gaussian fractional
  derivatives

Frequency learning for structured CNN filters with Gaussian fractional derivatives

12 November 2021
Nikhil Saldanha
S. Pintea
J. C. V. Gemert
Nergis Tomen
ArXivPDFHTML

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

6 / 6 papers shown
Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations
Andrzej Perzanowski
Tony Lindeberg
47
1
0
17 Sep 2024
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
J. C. V. Gemert
92
14
0
02 Feb 2024
Frequency Regularization: Restricting Information Redundancy of
  Convolutional Neural Networks
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
Chenqiu Zhao
Guanfang Dong
Shupei Zhang
Zijie Tan
Anup Basu
18
1
0
17 Apr 2023
Approximating Continuous Convolutions for Deep Network Compression
Approximating Continuous Convolutions for Deep Network Compression
Theo W. Costain
V. Prisacariu
28
0
0
17 Oct 2022
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
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
90
515
0
09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
950
20,567
0
17 Apr 2017
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