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Acceleration of Convolutional Neural Network Using FFT-Based Split
  Convolutions
v1v2 (latest)

Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions

27 March 2020
Kamran Chitsaz
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
ArXiv (abs)PDFHTML

Papers citing "Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions"

6 / 6 papers shown
Title
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen
Wei Niu
Bin Ren
Yanzhi Wang
Xipeng Shen
96
26
0
29 Aug 2022
Deep Frequency Filtering for Domain Generalization
Deep Frequency Filtering for Domain Generalization
Shiqi Lin
Zhizheng Zhang
Zhipeng Huang
Yan Lu
Cuiling Lan
...
Jiang Wang
Zicheng Liu
Amey Parulkar
V. Navkal
Zhibo Chen
146
57
0
23 Mar 2022
QFCNN: Quantum Fourier Convolutional Neural Network
QFCNN: Quantum Fourier Convolutional Neural Network
Feihong Shen
Jun Liu
94
8
0
19 Jun 2021
FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms
James Lee-Thorp
Joshua Ainslie
Ilya Eckstein
Santiago Ontanon
277
569
0
09 May 2021
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
Grigor Gatchev
V. Mollov
VLM
66
0
0
04 Apr 2021
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware
  Transformation
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation
Chaofan Tao
Rui Lin
Quan Chen
Zhaoyang Zhang
Ping Luo
Ngai Wong
MQ
93
8
0
15 Feb 2021
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