Techniques related to implementing convolutional neural networks for face or other object recognition are discussed. Such techniques may include applying, in turn, a depth-wise separable convolution, a condense point-wise convolution, and an expansion point-wise convolution to input feature maps to ...
Depthwise Separable Convolution Depthwise Separable Convolution于2017年在《MobileNets: Efficient Convolutional Neural Networks for Mobile VisionApplications》提出。 标准卷积操作所使用卷积核与输入特征具有相同的通道数,卷积核个数即为输出特征的通道数。 ... ...
In contrast, convolutional neural networks (CNNs), with their reliance on local filters, possess an inherent inductive bias, making them more efficient and quicker to converge than ViT with less data. In this paper, we present a lightweight Depth-Wise Convolution module as a shortcut in ViT ...
and some prior knowledge that had been successful in convolutional neural networks, such as local operation, multi-scaling, shuffling, and other operations, as well as inductive bias, were introduced into Transformer. One of the more successful cases has ...
And i found this paper, "ChannelNets: Compact and Efficient ConvolutionalNeural Networks via Channel-Wise Convolutions", which give a definition of "Channel-wise convolution"。https://arxiv.org/abs/1809.01330 What kind of openator is used in CGNet indeed?
For steganalysis, many studies showed that convolutional neural network (CNN) has better performances than the two-part structure of traditional machine learning methods. Existing CNN architectures use various tricks to improve the performance of steganalysis, such as fixed convolutional kernels, the absol...
We propose a new real-time detection algorithm for MIS tools, which called depth-wise separable convolutional network with convolutional long short-term ... Y Liu,Z Zhao,P Shi,... - 《IEEE Transactions on Medical Robotics & Bionics》 被引量: 0发表: 2022年 Lightweight Driver Behavior Identif...
Fully Convolutional Networks for Semantic Segmentation 论文解读 写在前面:纯属个人理解,如有错误,请各位大佬赐教,小弟拜谢(一颗行走的大白菜) 这篇文章证明了,通过fine-tune 做分类的networks(AlexNet ,VGGnet,GoogleNet),去做semantic segmentation,在效率和精度上都out performance the-state-of-art.这篇paper ...
展开 关键词: Fault diagnosis Rolling bearings Convolution Time-frequency analysis Feature extraction Convolutional neural networks Continuous wavelet transforms DOI: 10.1109/ACCESS.2024.3441232 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 IEEEXplore (全网免费下载) IEEEXplore 相似文献Light...
Techniques related to implementing convolutional neural networks for face or other object recognition are discussed. Such techniques may include applying, in turn, a depth-wise separable convolution, a condense point-wise convolution, and an expansion point-wise convolution to input feature maps to ...