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PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing
  in CMOS Image Sensors

PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors

8 March 2022
Minhyeok Cho
Haechang Lee
Hyunwoo Je
Kijeong Kim
Dongil Ryu
Albert No
ArXivPDFHTML

Papers citing "PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image Sensors"

5 / 5 papers shown
Title
SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer
  Reconstruction
SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction
S. Sharif
R. A. Naqvi
Mithun Biswas
48
17
0
16 Oct 2021
Pro-KD: Progressive Distillation by Following the Footsteps of the
  Teacher
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
Mehdi Rezagholizadeh
A. Jafari
Puneeth Salad
Pranav Sharma
Ali Saheb Pasand
A. Ghodsi
66
17
0
16 Oct 2021
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
187
473
0
12 Jun 2018
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
267
404
0
09 Apr 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,163
0
16 Sep 2016
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