一、模型结构 整体模型的结构分为两个关键部分,一个是信息抽取单元(Information Extraction Unit, IEU),用于抽取并构建原始 embedding 的高阶特征;另一个是互补选择门控(Complementary Selection Gate,CSGate),用于构建完整的强化信息。下图为FRNet的整体结构示意图。 FRNet整体结构示意图 1.1 Information Extraction Unit...
(1)概述: 网络包含了两个部分:Feature Extraction Network(FEN)和Feature Fusion Network(FFN),如上图所示。FEN的输入为行人图片和区域信息,得到行人的全局特征和七个局部特征,最后通过FFN进行特征融合。 (2)Feature Extraction Network(FEN): 1个全局特征和7个局部特征均通过池化后得到256维的特征向量。FEN包含了...
文章链接:Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware | Journal of Real-Time Image Processing (springer.com) 研究目标: 该文章的研究目标是改进轻量级YOLOv7模型中的特征提取网络,以实现在低成本硬件上的实时车辆检测,尤其是在处理小型...
AlexNet Feature Extraction This lab guides you through using AlexNet and TensorFlow to build a feature extraction network. Setup Before you start the lab, you should first install: Python 3 TensorFlow NumPy SciPy matplotlib About This lab guides you through using AlexNet and TensorFlow to build a ...
In this study, a novel method, named slow feature network (SFNet), is proposed and applied for DPM. SFNet adds a new optimization objective based on AE for nonlinear dynamic feature extraction, which requires that the hidden features vary as slowly as possible. By simultaneously minimizing recons...
However, the speed gain using LT still remains and can be used in neural network feature extraction. As long as the LT Conclusions Several conclusions can be drawn from the theoretical investigations and practical experiments: About the Author—AISTIS RAUDYS received the B.S. in Computer Science...
We deem it is possible to further reduce the network complexity while ensuring the accuracy. In this paper, we propose a novel feature extraction network called DSRNet which is lightweight but effective. DSRNet follows the basic ideas of stacking modules and short connection, introduces Depthwise ...
Multiscale Feature Extraction Network for Real-time Semantic Segmentation of Road Scenes On the Autonomous Robot Article04 May 2023 LBCNet: A lightweight bilateral cascaded feature fusion network for real-time semantic segmentation Article06 November 2023 ...
文章链接:Multi scale pixel attention and feature extraction based neural network for image denoising - ScienceDirect 研究目标: 提出一种利用输入图像及其负片特征的盲高斯去噪网络。具体来说,文章介绍了一种双路径模型,其中一个路径使用多尺度像素注意力(MSPA)块,另一个路径使用多尺度特征提取(MSFE)块。据作者...
为了解决上述问题,本文从新的角度提出了一种新的架构,称为方面特征蒸馏与增强网络(aspect feature distillation and enhancement network, AFDEN),如图1所示。总的来说,模型分为三大部分:双特征提取模块(Dual-feature Extraction),方面特征蒸馏模块(Aspect-feature Distillation)和方面特征增强模块(Aspect-feature Enhancement...