SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
Bichen WuForrest N. IandolaPeter H. JinKurt KeutzerPublished in: CoRR (2016)
Keyphrases
- low power
- convolutional neural networks
- autonomous driving
- power consumption
- low cost
- high speed
- single chip
- high power
- low power consumption
- grand challenge
- digital signal processing
- vlsi circuits
- logic circuits
- convolutional network
- vlsi architecture
- computer vision
- ultra low power
- wireless transmission
- stereo vision
- cmos technology
- power dissipation
- signal processor
- gate array
- wireless sensor networks