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2203.12091
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FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
22 March 2022
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
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Papers citing
"FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation"
12 / 62 papers shown
Title
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Oriol Vinyals
J. Dean
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Christian Szegedy
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Deep Learning with Limited Numerical Precision
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A. Agrawal
K. Gopalakrishnan
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207
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Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
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17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
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Andrew Zisserman
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ImageNet Large Scale Visual Recognition Challenge
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Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
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Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
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274
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20 Jun 2014
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
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289
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