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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
Bichen Wu
Forrest N. Iandola
Peter H. Jin
Kurt Keutzer
Published in:
CVPR Workshops (2017)
Keyphrases
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low power
convolutional neural networks
autonomous driving
low cost
power consumption
high speed
single chip
grand challenge
vlsi circuits
high power
logic circuits
wireless transmission
low power consumption
image sensor
digital signal processing
power dissipation
vlsi architecture
vision algorithms
real time