现有的框架总是将输入从高分辨率表征编码到低分辨率表征,如ResNet,VGG(下采样32倍,分辨率从224 -> 7),然后从低分辨率恢复到高分辨率。本文提出一种新的框架:High-Resolution Network (HRNet),旨在整个处理过程中保持高分辨率的表征。 框架对比 上图展示了从低分辨率表征恢复到高分辨率表征的框架结构。其中(a)部分为...
2.HRNetv2姿态识别 网络结构部分 image.png 首先图像的输入经过下采样四倍的feature map,横向的conv block指的是残差单元,不同分辨率之间的多交叉线部分是多分辨率组卷积(multi-resolution convolution)。至此HRNet V2和HRNet V1基本一致的。 image.png 主要区别在网络上加的head: (a)是只用大分...
文中提出了一种新的体系结构,即高分辨率网络(HRNet),它能够在整个过程中保持高分辨率的表示。第一阶段构建高分辨率子网络,后续阶段逐步添加high-to-low分辨率子网络,并行地连接多分辨率子网络。通过交换贯穿于并行多分辨率子网络的信息指导多尺度融合,并不断重复这个过程。 (1)并行地连接high-to-low分辨率子...
High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection. Existing state-of-the-art frameworks first encode the input image as a low-resolution representation through a subnetwork that...
paper: "Deep High Resolution Representation Learning for Visual Recognition" code: "HRNet" Abstract 1. HRNet,这里用的是PAMI2020的工作,整合了h
@Densepose论文翻译 Deep High-Resolution Representation Learning for Human Pose Estimation论文翻译 Abstract 在本文中,我们对人体姿势估计问题感兴趣,重点是学习可靠的高分辨率表示。大多数现有方法从由高到低分辨率网络产生的低分辨率表示中恢复高分辨率表示。相反,我们建议的网络在整个过程中保持高分辨率的表示。我们从高...
论文题目:Deep High-Resolution Representation Learning for Human Pose Estimation 论文地址:http://arxiv.org/abs/1902.09212v1 代码:https://github.com/leoxiaobin/deep-high-resolution-net.pytorch CVPR2021 回到顶部 1、摘要简介 本文聚焦于人类姿态估计,现有方法大都是连接一个高分辨率到低分辨率卷积序列的子...
our proposed network maintains high-resolution representations through the whole process. We start from a high-resolution subnetwork as the first stage, gradually add high-to-low resolution subnetworks one by one to form more stages, and connect the mutli-resolution subnetworks in p...
【论文阅读】 Deep High-Resolution Representation Learning for Human Pose Estimation_CVPR2019,程序员大本营,技术文章内容聚合第一站。
Deep High-Resolution Representation Learning for Visual Recognitiondoi:10.1109/TPAMI.2020.2983686Jingdong WangKe SunTianheng ChengBorui JiangChaorui DengYang ZhaoDong LiuYadong MuMingkui TanXinggang WangInstitute of Electrical and Electronics Engineers (IEEE)...