但这种方法还有一个缺点,即并没有对激活函数进行量化,所以Bengio大神在2016年发表了这篇Binary Neural Network,论文原文和代码链接见附录。 BNN算法 二值化的方法 二值化方法主要有两种,确定式二值化和随机式二值化。二值化将float类型权重转换为两个值,一个非常简单直接的二值化操作基于符号函数: 其中是二值化...
Quantum Binary Neural Network This repo is supplementary to our paper: https://arxiv.org/abs/1810.12948, presenting the code implementations of QBNN examples. The implementations are done on Huawei's Quantum Computing Platform "HiQ" : http://hiq.huaweicloud.com/en/index.html The hierachy of ...
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds. - htqin/BiPointNet
The code is available at https://github.com/sscckk/EBNAS.doi:10.1016/j.engappai.2023.105845Chaokun ShiYuexing HaoGongyan LiShaoyun XuEngineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation...
arxiv.org/pdf/1603.0527 这个论文对应的代码是 github.com/1adrianb/bin github.com/1adrianb/bin 为例吧,可能还有更好的。 可以看到,输入二值化后,全网络执行XNOR及bitcount操作,在计算及内存占用上,还是有相当大的优势的。唯一的问题就是,这个准确性,是不是你能接受的。发布...
link: https://export.arxiv.org/pdf/2110.06804v4.pdf TL, DR: 本文对二值化网络的量化算法做了一个总结。 二值化的一个常规做法是: 其中,网络的特征变成二值化,这个就是 activation 的二值化。该层权重的二值…
https://github.com/wonnado/binary-netsPytorch Binary Ensemble Neural Network 的思路就是将 若干个独立的二值网络组合起来近似 实数值网络,本文提出的 Structured Binary Neural Networks 更进一步,将实数值网络分解为各个模块,然后使用若干二值网络来近似这些模块,对于网络的分解,通过学习完成动态分解。
We obtain robust RBONNs, which show impressive performance over state-of-the-art BNNs on various models and datasets. Particularly, on the task of object detection, RBONNs have great generalization performance. Our code is open-sourced on https://github.com/SteveTsui/RBONN....
论文题目:Forward and Backward Information Retention for Accurate Binary Neural Networks 文献地址:https://arxiv.org/abs/1909.10788 源码地址:https://github.com/htqin/IR-Net IR-Net应用中的效果 作者使用了两个基准数据集:CIFAR-10和ImageNet(ILSVRC12)进行了实验。在两个数据集上的实验结果表明,IR-Net比...
Results from the Paper Edit Ranked #1 on Classification with Binary Neural Network on CIFAR-10 (using extra training data) Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankUses ExtraTraining Data ResultBenchmark Classification with Binary Neural Network CIFAR-10 BATS (large + ...