2022
Non-uniform Step Size Quantization for Accurate Post-Training Quantization
ECCV 2022poster
"Quantization is a very effective optimization technique to reduce hardware cost and memory footprint of deep neural network (DNN) accelerators. In particular, post-training quantization (PTQ) is often preferred as it does not require a full dataset or costly retraining. However, performance of PTQ…