首先会看到高分辨率模块的参数列表如下 classHighResolutionModule(nn.Module):def__init__(self, num_branches, blocks, num_blocks, num_inchannels, num_channels, fuse_method, multi_scale_output=True): super(HighResolutionModule, self).__init__() self._check_branches( num_branches, blocks, num_b...
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...
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)是只用大分辨率的特征图的HRNet V1,仅输出高分辨率支路...
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...
论文链接:Deep High-Resolution Representation Learning for Human Pose Estimation 时间:2019.02 CVPR2019 作者团队:Ke Sun Bin Xiao Dong Liu Jingdong Wang 分类:计算机视觉--人体关键点检测--2D top-down 目录: 1.HRNet背景 2.HRNet姿态识别 3.HRNet网络架构图 ...
out += residual out = self.relu(out) return out 3 程序结果 参考: 7Deep High-Resolution Representation Learning for Human Pose Estimation 论文地址: http://xxx.itp.ac.cn/pdf/1904.04514.pdfxxx.itp.ac.cn/pdf/1904.04514.pdf 代码地址:...
paper: Deep High-Resolution Representation Learning for Visual Recognition code: HRNet Abstract HRNet,这里用的是PAMI2020的工作,整合了human pose estimation、object detection、semantic segmentation、image classification、facial landmark detection等多个视觉任务,目前Cityscapes test的分割任务中,精度最高的是HRNetV2...
@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...
论文解读|2020TPAMI|Deep High-Resolution Representation Learning for Visual Recognition,程序员大本营,技术文章内容聚合第一站。
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang CVPR 2019|February 2019 Published by IEEE DOI Download BibTex In this paper, we are interested in the human pose estimation problem with a focus on learning reliable ...