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SAU: Smooth activation function using convolution with approximate
  identities

SAU: Smooth activation function using convolution with approximate identities

27 September 2021
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
ArXivPDFHTML

Papers citing "SAU: Smooth activation function using convolution with approximate identities"

3 / 3 papers shown
Title
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
46
13
0
09 Sep 2021
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
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
1