0 - 背景 人体姿态识别存在遮挡以及关键点不清晰等主要挑战,然而,人体的关键点之间由于人体结构而具有相互关系,利用容易识别的关键点来指导难以识别关键点的检测,是提高关键点检测的一个思路.本文通过提出序列化结构模型,来提高人体姿态识别任务的效果. 1 - 贡献 使用一个序列卷积结构模型学习表达空间信息 采用系统的方法来设计和训练模型,以学习图像特征和依赖图像空间模型进行结构化预测的任务 在MPII/LSP/FLIC等数据集上实现了最好的性能 分析了联合训练一个多阶段.中间重复监督的架构的效果 2…

Convolutional Pose Machines 2018-12-10 18:17:20 Paper:https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wei_Convolutional_Pose_Machines_CVPR_2016_paper.pdf Caffe Version: https://github.com/CMU-Perceptual-Computing-Lab/convolutional-p…

开源实现 https://github.com/shihenw/convolutional-pose-machines-release(caffe版本) https://github.com/psycharo/cpm (tensorflow版本,但是只有用pre-trained model做predict,没有training) 论文原文下载地址:https://www.researchgate.net/publication/301880946_Convolutional_Pose_Machi…

figure1图b figure1 -a   figure3-a 图一-a…

Awesome Human Pose Estimation 2018-10-08 11:02:35 Copied from: https://github.com/cbsudux/awesome-human-pose-estimation A collection of resources on Human Pose Estimation. Why awesome human pose estimation? This is a collection of papers and resource…

 Stacked Hourglass Networks for Human Pose Estimation key words:人体姿态估计 Human Pose Estimation 给定单张RGB图像,输出人体某些关键点的精确像素位置.堆叠式沙漏网络 Stacked Hourglass Networks多尺度特征  Features processed across all scales特征用于捕捉人体的空间关系 Capture spatial relationships associate…

持续更新...... 概括:以往很多论文借助深度信息将2D上升到3D,这篇论文则是想要用网络训练代替深度数据(设备成本比较高),提高他的泛性,诠释了只要合成数据集足够大和网络足够强,我就可以不用深度信息.这篇论文的思路很清晰,主要分为三个部分: 1.HandSegNet 2.PoseNet 3.the PosePrior network 第1.2个网络主要是借助 Convolutional Pose Machines 这篇论文的网络进行设置, 通过卷积图层表达纹理信息和空间信息提取出手的位置(只…

http://www.cv-foundation.org/openaccess/CVPR2016.py ORAL SESSION Image Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1   Deep Compositional Captioning: Descr…

Taylor Guo @ Shanghai - 2018.10.22 - 星期一 PyTorch 资源链接 图像分类 VGG ResNet DenseNet MobileNetV2 ResNeXt SqueezeNet ShuffleNet ShuffleNet V2 位姿估计 CPM: Convolutional Pose Machines OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields…

CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…