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PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized
  Perception with Neural Sensors

PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors

11 April 2023
Haley M. So
Laurie Bose
Piotr Dudek
Gordon Wetzstein
ArXivPDFHTML

Papers citing "PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors"

4 / 4 papers shown
Title
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
32
5
0
09 Nov 2023
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
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
20,572
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
221
14,376
0
07 Oct 2016
1