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Temporally Resolution Decrement: Utilizing the Shape Consistency for
  Higher Computational Efficiency

Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency

2 December 2021
Tianshu Xie
Xuan Cheng
Minghui Liu
Jiali Deng
Xiaomin Wang
Meilin Liu
    SupR
ArXivPDFHTML

Papers citing "Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency"

3 / 3 papers shown
Title
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
122
57
0
13 Dec 2018
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
20,561
0
17 Apr 2017
1