2022
Low Precision Local Learning for Hardware-Friendly Neuromorphic Visual Recognition
ICASSP 2022accepted
Quantization is an important approach in making hardware-friendly implementation. However, while various quantization techniques have been extensively explored in deep learning for reducing the memory and computational footprint of the models, similar investigations are few in neuromorphic computing…