May 11, 2019 · In this story, A paper called “Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation”, by Univerity of ...

Feb 10, 2017 · This paper presents incremental network quantization (INQ), a novel method, targeting to efficiently convert any pre-trained full-precision ...

Extensive experiments on the ImageNet classification task using almost all known deep CNN architectures including AlexNet, VGG-16, GoogleNet and ResNets ...

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously ...

This study proposes a more advanced technique, referred to as Quantized Neural Net- work (QNN), for quantizing the neurons and weights during inference and ...

Duration: 1:01:20
Posted: Sep 29, 2021

This paper presents incremental network quantization (INQ), a novel method, tar- geting to efficiently convert any pre-trained full-precision convolutional ...

Jun 15, 2021 · Figure 2: A schematic of matrix-multiply logic in an neural network accelerator for quantized inference. Uniform affine quantization, also known ...