Hardware-Centric AutoML for Mixed-Precision Quantization.
Kuan WangZhijian LiuYujun LinJi LinSong HanPublished in: Int. J. Comput. Vis. (2020)
Keyphrases
- low cost
- hardware and software
- real time
- hardware implementation
- quantization error
- hardware architecture
- computing systems
- parallel hardware
- field programmable gate array
- massively parallel
- precision and recall
- data acquisition
- high precision
- average precision
- high speed
- wavelet transform
- image processing
- computing platform
- information systems
- graphics hardware
- neural network
- high recall
- software implementation
- data sets