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FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic
  Arrays

FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays

27 May 2021
Surya Selvam
Vinod Ganesan
Pratyush Kumar
ArXivPDFHTML

Papers citing "FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays"

3 / 3 papers shown
Title
Efficient ML Models for Practical Secure Inference
Efficient ML Models for Practical Secure Inference
Vinod Ganesan
Anwesh Bhattacharya
Pratyush Kumar
Divya Gupta
Rahul Sharma
Nishanth Chandran
MedIm
62
5
0
26 Aug 2022
Design and Scaffolded Training of an Efficient DNN Operator for Computer
  Vision on the Edge
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan
Pratyush Kumar
47
2
0
25 Aug 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
20,643
0
17 Apr 2017
1