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Evolution: A Unified Formula for Feature Operators from a High-level
  Perspective

Evolution: A Unified Formula for Feature Operators from a High-level Perspective

23 May 2023
Zhicheng Cai
ArXivPDFHTML

Papers citing "Evolution: A Unified Formula for Feature Operators from a High-level Perspective"

5 / 5 papers shown
Title
Omni-Dimensional Dynamic Convolution
Omni-Dimensional Dynamic Convolution
Chao Li
Aojun Zhou
Anbang Yao
46
227
0
16 Sep 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
277
2,606
0
04 May 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
20,572
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,376
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
312
36,381
0
25 Aug 2016
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