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ShaResNet: reducing residual network parameter number by sharing weights

ShaResNet: reducing residual network parameter number by sharing weights

28 February 2017
Alexandre Boulch
ArXivPDFHTML

Papers citing "ShaResNet: reducing residual network parameter number by sharing weights"

3 / 3 papers shown
Title
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition
  in Smart Video Surveillance
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Justin Sanchez
Christopher Neff
Hamed Tabkhi
GNN
30
9
0
15 Jan 2022
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
Y. Yoo
Dongyoon Han
Sangdoo Yun
CVBM
11
43
0
15 Jun 2019
Streaming Architecture for Large-Scale Quantized Neural Networks on an
  FPGA-Based Dataflow Platform
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin
Natan Liss
Evgenii Zheltonozhskii
A. Bronstein
A. Mendelson
GNN
MQ
28
35
0
31 Jul 2017
1