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Characterizing and Taming Resolution in Convolutional Neural Networks

Characterizing and Taming Resolution in Convolutional Neural Networks

28 October 2021
Eddie Q. Yan
Liang Luo
Luis Ceze
ArXivPDFHTML

Papers citing "Characterizing and Taming Resolution in Convolutional Neural Networks"

4 / 4 papers shown
Title
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
102
423
0
14 Jun 2019
A Study of BFLOAT16 for Deep Learning Training
A Study of BFLOAT16 for Deep Learning Training
Dhiraj D. Kalamkar
Dheevatsa Mudigere
Naveen Mellempudi
Dipankar Das
K. Banerjee
...
Sudarshan Srinivasan
Abhisek Kundu
M. Smelyanskiy
Bharat Kaul
Pradeep Dubey
MQ
67
340
0
29 May 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
297
11,610
0
11 Jan 2018
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
133
4,342
0
16 Mar 2016
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