2021
Improving Low-Precision Network Quantization via Bin Regularization
ICCV 2021poster
Model quantization is an important mechanism for energy-efficient deployment of deep neural networks on resource-constrained devices by reducing the bit precision of weights and activations. However, it remains challenging to maintain high accuracy as bit precision decreases, especially for low-prec…