使用海光DCU&DTK进行FastSCNN模型训练 本篇文章主要介绍基于海光DTK结合其自研的DCU芯片,实现语义分割模型FastSCNN的训练。 01 模型简介 论文:Fast Semantic Segmentation Network Fast-SCNN使用全局特征提取器来提取全局特征,此处的全局特征提取器类似于传统2分支结构中的深度分支。传统的2分支结构中深度分支的输入是低分辨...
Fast-SCNN: Fast Semantic Segmentation Network 英国剑桥大学与东芝欧洲研究院联合出品,研究内容是快速语义分割算法。 文章的贡献 提出Fast-SCNN用于高分辨率(1024×2048)图像上的实时语义分割任务,帧率达到123.5,准确率达到68%;使用离线DCNN中受欢迎的skip连接方法,文章提出一种浅层学习下采样模块用于快速高效的多分支低...
设计了低容量的Fast-SCNN,并且通过经验验证了在这个网络架构上运行更多迭代次数训练的效果和使用ImageNet预训练或者使用附加精细化训练数据集训练的效果一样成功; 2 Network Architecture Fast-SCNN网络结构图如下,主要分为四个阶段:1 Learning to Downsample,2 Global Feature Extractor,3 Feature Fusion Module,4 Class...
Fast-SCNN: Fast Semantic Segmentation Network 作者: Rudra P K Poudel, Stephan Liwicki, Roberto Cipolla 来源: Computer Vision and Pattern Recognition (cs.CV) (Submitted on 12 Feb 2019) 链接: arxiv.org/abs/1902.0450 摘要 编码器 - 解码器框架是用于离线语义图像分割的最新技术。自从自治系统兴起以来...
介绍一篇 BMVC 2019 语义分割论文 Fast-SCNN:Fast Semantic Segmentation Network,谷歌学术显示该文已有62次引用。 论文:https://arxiv.org/pdf/1902.04502.pdf 代码:https://github.com/Tramac/Fast-SCNN-pytorch (PyTorch实现,星标200+,非官方) 绪论
Subsequently, the data augmentation method and multi-scale feature fusion module are utilized in the proposed Fast-SegNet architecture for semantic segmentation. Extensive experiments demonstrate that Fast-SegNet could improve segmentation performance, especially for small-scale objects with an acceptable ...
介绍一篇BMVC 2019 语义分割论文 Fast-SCNN:Fast Semantic Segmentation Network,谷歌学术显示该文已有62次引用。 论文:https://arxiv.org/pdf/1902.04502.pdf 代码:https://github.com/Tramac/Fast-SCNN-pytorch (PyTorch实现,星标200+,非官方) 0 绪论
Network,CNN)的卷积块之后.注视目标识别模块对单步多框检测器(Single Shot Multi Box Detector,SSD)和快速语义分割网络(Fast Semantic Segmentation Network,Fast-SCNN... 张俊杰 - 东北师范大学 被引量: 0发表: 2021年 Location recognition of unmanned vehicles based on visual semantic information and geometric ...
A PyTorch implementation ofFast-SCNN: Fast Semantic Segmentation Networkfrom the paper by Rudra PK Poudel, Stephan Liwicki. Table of Contents Installation Datasets Train Evaluate Demo Results TO DO Reference Installation Python 3.x. Recommended usingAnaconda3 ...
Cross Fusion Net: A Fast Semantic Segmentation Network for Small-Scale Semantic Information Capturing in Aerial Scenes 来自 Semantic Scholar 喜欢 0 阅读量: 420 作者:C Peng,K Zhang,Y Ma,J Ma 摘要: Capturing accurate multiscale semantic information from the images is of great importance for high...