paper 154:姿态估计(Hand Pose Estimation)相关总结
Awesome Works !!!!
Table of Contents
- Conference Papers
- 2017 ICCV
- 2017 CVPR
- 2017 Others
- 2016 ECCV
- 2016 CVPR
- 2016 Others
- 2015 ICCV
- 2015 CVPR
- 2015 Others
- 2014 CVPR
- 2014 Others & Before
- Journal Papers
- Theses
- Datasets
- Challenges
- Other Related Papers
Evaluation codes
See folder evaluation
to get more details about performance evaluation for hand pose estimation.
arXiv Papers
[arXiv:1712.01057] GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB. [PDF]
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt
[arXiv:1711.10872] Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network. [PDF]
Qi Ye, Tae-Kyun Kim
[arXiv:1711.08996] Dense 3D Regression for Hand Pose Estimation. [PDF] [Code]
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
[arXiv:1711.07399] V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map. [PDF]
Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
[arXiv:1708.03416] Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation. [PDF]
Xinghao Chen, Guijin Wang, Hengkai Guo, Cairong Zhang
[arXiv:1707.07248] Towards Good Practices for Deep 3D Hand Pose Estimation. [PDF] [Code]
Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang
[arXiv:1707.03742] Large-scale Multiview 3D Hand Pose Dataset. [PDF] [Project Page]
Francisco Gomez-Donoso, Sergio Orts-Escolano and Miguel Cazorla
[arXiv:1705.09606] End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data. [PDF]
Meysam Madadi, Sergio Escalera, Xavier Baro, Jordi Gonzalez
[arXiv:1704.02224] Hand3D: Hand Pose Estimation using 3D Neural Network. [PDF] [Project Page]
Xiaoming Deng*, Shuo Yang*, Yinda Zhang*, Ping Tan, Liang Chang, Hongan Wang
[arXiv:1612.00596] Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects. [PDF]
Yu Zhang, Chi Xu, Li Cheng
[arXiv:1610.07214] 3D Hand Pose Tracking and Estimation Using Stereo Matching. [PDF]
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
Conference Papers
2017 ICCV
Learning to Estimate 3D Hand Pose from Single RGB Images. [PDF] [Project Page] [Code]
Christian Zimmermann, Thomas Brox
Real-time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor. [PDF] [Project Page]
Franziska Mueller, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Dan Casas, Christian Theobalt
Robust Hand Pose Estimation during the Interaction with an Unknown Object. [PDF] [Supp] [Project Page]
Chiho Choi, Sang Ho Yoon, Chin-Ning Chen, Karthik Ramani
Learning Hand Articulations by Hallucinating Heat Distribution. [PDF] [Supp] [Project Page]
Chiho Choi, Sangpil Kim, Karthik Ramani
[Hands17 Workshop] Back to RGB: 3D tracking of hands and hand-object interactions based on short-baseline stereo. [PDF]
Paschalis Panteleris, Antonis Argyros
[Hands17 Workshop] DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation. [PDF] [Project Page] [Code]
Markus Oberweger and Vincent Lepetit
[Hands17 Workshop] Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo. [PDF]
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh
2017 CVPR
Hand Keypoint Detection in Single Images using Multiview Bootstrapping. [PDF] [Project Page] [Code]
Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation. [PDF] [Code]
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis. [PDF]
Shanxin Yuan*, Qi Ye*, Bjorn Stenger, Siddhand Jain, Tae-Kyun Kim
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images.[PDF] [Project Page]
Liuhao Ge, Hui Liang, Junsong Yuan and Daniel Thalmann
2017 Others
[2017 3DV] How to Refine 3D Hand Pose Estimation from Unlabelled Depth Data? [PDF]
Endri Dibra*, Thomas Wolf*, Cengiz Öztireli, Markus Gross
[2017 ICIP] Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation. [PDF] [Code]
Hengkai Guo, Guijin Wang, Xinghao Chen, Cairong Zhang, Fei Qiao, Huazhong Yang
[2017 ICIP] A Hand Pose Tracking Benchmark from Stereo Matching. [PDF] [Project Page]
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, and Qingxiong Yang
[2017 SIGGRAPH Asia] Articulated distance fields for ultra-fast tracking of hands interacting. [PDF]
Jonathan Taylor*, Vladimir Tankovich*, Danhang Tang*, Cem Keskin*, David Kim, Philip Davidson, Adarsh Kowdle, Shahram Izadi
[2017 SIGGRAPH Asia] Online Generative Model Personalization for Hand Tracking. [PDF] [Project Page]
Anastasia Tkach*, Andrea Tagliasacchi*, Edoardo Remelli, Mark Pauly, Andrew Fitzgibbon
[2017 SIGGRAPH Asia] Embodied Hands: Modeling and Capturing Hands and Bodies Together. [PDF] [Project Page]
Javier Romero*, Dimitrios Tzionas* and Michael J. Black
[2017 BMVC] Hand Pose Learning: Combining Deep Learning and Hierarchical Refinement for 3D Hand Pose Estimation. [PDF]
Min-Yu Wu, Ya Hui Tang, Pai-Wei Ting and Li-Chen Fu
[2017 BMVC] Generative 3D Hand Tracking with Spatially Constrained Pose Sampling. [PDF] [Project Page]
Konstantinos Roditakis, Alexandros Makris and Antonis Argyros
[2017 ICRA] Learning a deep network with spherical part model for 3D hand pose estimation. [PDF]
Tzu-Yang Chen, Pai-Wen Ting, Min-Yu Wu, Li-Chen Fu
[2017 FG] Occlusion aware hand pose recovery from sequences of depth images. [PDF] [Slide]
Meysam Madadi, Sergio Escalera, Alex Carruesco Llorens, Carlos Andujar, Xavier Baro, Jordi Gonzalez
[2017 FG] 3D Hand-Object Pose Estimation from Depth with Convolutional Neural Networks. [PDF] [Project Page]
Duncan Goudie, Aphrodite Galata
2016 ECCV
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. [PDF] [Project Page]
Qi Ye*, Shanxin Yuan*, Tae-Kyun Kim
Hand Pose Estimation from Local Surface Normals. [PDF]
Chengde Wan, Angela Yao, and Luc Van Gool
Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input. [PDF] [Project Page]
Srinath Sridhar, Franziska Mueller, Michael Zollhöfer, Dan Casas, Antti Oulasvirta, Christian Theobalt
2016 Others
[2016 ICPR] Depth-based 3D hand pose tracking. [PDF]
Kha Gia Quach, Chi Nhan Duong, Khoa Luu, and Tien D. Bui.
[2016 IJCAI] Model-based Deep Hand Pose Estimation. [PDF] [Project Page] [Code]
Xingyi Zhou, Qingfu Wan, Wei Zhang, Xiangyang Xue, Yichen Wei
[2016 SIGGRAPH] Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences. [PDF]
Jonathan Taylor et al.
[2016 SIGGRAPH Asia] Sphere-Meshes for Real-Time Hand Modeling and Tracking. [PDF] [Project Page] [Code]
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
2016 CVPR
Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs. [PDF] [Project Page] [Code]
Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features. [PDF][Project Page]
Ayan Sinha*, Chiho Choi*, Karthik Ramani
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation. [PDF] [Project Page] [Code]
Markus Oberweger, Gernot Riegler, Paul Wohlhart, Vincent Lepetit
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization. [PDF] [Project Page]
David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton
2015 ICCV
Training a Feedback Loop for Hand Pose Estimation. [PDF] [Project Page]
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. [PDF]
Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
Depth-based hand pose estimation: data, methods, and challenges. [PDF] [Project Page] [Code]
James Supancic III, Deva Ramanan, Gregory Rogez, Yi Yang, Jamie Shotton
3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points. [PDF]
Peiyi Li, Haibin Ling
A collaborative filtering approach to real-time hand pose estimation. [PDF] [Project Page]
Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. [PDF]
Sven Bambach, Stefan Lee, David Crandall, Chen Yu
Understanding Everyday Hands in Action from RGB-D Images. [PDF]
Gregory Rogez, James Supancic III, Deva Ramanan
2015 CVPR
Cascaded Hand Pose Regression. [PDF]
Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, and Jian Sun
Fast and Robust Hand Tracking Using Detection-Guided Optimization. [PDF] [Project Page]
Srinath Sridhar, Franziska Mueller, Antti Oulasvirta, Christian Theobalt
Learning an Efficient Model of Hand Shape Variation from Depth Images. [PDF]
Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew Fitzgibbon
2015 Others
[2015 BMVC] Rule of Thumb: Deep Derotation for Improved Fingertip Detection. [PDF] [Project Page]
Aaron Wetzler, Ron Slossberg and Ron Kimmel
[2015 CHI] Accurate, Robust, and Flexible Real-time Hand Tracking. [PDF] [Project Page]
Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew Fitzgibbon, Shahram Izadi
[2015 CVWW]Hands Deep in Deep Learning for Hand Pose Estimation. [PDF] [Project Page] [Code]
Markus Oberweger, Paul Wohlhart, Vincent Lepetit
[2015 FG]Combining Discriminative and Model Based Approaches for Hand Pose Estimation. [PDF] [Project Page]
Philip Krejov, Andrew Gilbert, Richard Bowden
[2015 SGP] Robust Articulated-ICP for Real-Time Hand Tracking. [PDF] [Project Page] [Code]
Anastasia Tkach, Mark Pauly, Andrea Tagliasacchi
2014 CVPR
Realtime and robust hand tracking from depth. [PDF] [Project Page]
Chen Qian, Xiao Sun, Yichen Wei, Xiaoou Tang and Jian Sun
Latent regression forest: Structured estimation of 3d articulated hand posture. [PDF] [Project Page]
Danhang Tang, Hyung Jin Chang, Alykhan Tejani, T-K. Kim
User-specific hand modeling from monocular depth sequences. [PDF] [Project Page]
Jonathan Taylor, Richard Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew Fitzgibbon
Evolutionary Quasi-random Search for Hand Articulations Tracking. [PDF] [Project Page]
Iason Oikonomidis, Manolis IA Lourakis, Antonis A Argyros
2014 Others & Before
[2014 SIGGRAPH] Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks. [PDF] [Project Page]
Jonathan Tompson, Murphy Stein, Yann Lecun and Ken Perlin
[2013 ICCV] Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests. [PDF] [Project Page]
Danhang Tang, Tsz Ho Yu and T-K. Kim
[2013 ICCV] Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data. [PDF] [Project Page]
Srinath Sridhar, Antti Oulasvirta, Christian Theobalt
[2013 ICCV] Efficient Hand Pose Estimation from a Single Depth Image. [PDF] [Project Page]
Chi Xu, Li Cheng
[2012 ECCV] Motion Capture of Hands in Action using Discriminative Salient Points. [PDF] [Project Page]
Ballan, L. and Taneja, A. and Gall, J. and van Gool, L. and Pollefeys, M.
[2012 ECCV] Hand pose estimation and hand shape classification using multi-layered randomized decision forests.
Cem KeskinFurkan, KıraçYunus Emre, KaraLale Akarun
[2011 CVPRW] Real Time Hand Pose Estimation using Depth Sensors. [PDF]
Cem Keskin, Furkan Kırac, Yunus Emre Kara, Lale Akarun
[2011 BMVC] Efficient Model-based 3D Tracking of Hand Articulations using Kinect. [PDF] [Project Page] [Code]
Iason Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros
Journal Papers
[2017 CVIU] Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning. [PDF]
Natalia Neverova, Christian Wolf, Florian Nebout, Graham Taylor
[2016 IJCV] Capturing Hands in Action using Discriminative Salient Points and Physics Simulation. [PDF] [Project Page]
Tzionas, D., Ballan, L., Srikantha, A., Aponte, P., Pollefeys, M., Gall, J.
[2016 IJCV] Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups. [PDF] [Project Page]
Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, Li Cheng
[2016 TPAMI] Latent Regression Forest: Structured Estimation of 3D Hand Poses. [PDF]
Danhang Tang, Hyung Chang, Alykhan Tejani, Tae-Kyun Kim
[2016 CVIU] Guided Optimisation through Classification and Regression for Hand Pose Estimation. [PDF] [Project Page]
Philip Krejov, Andrew Gilbert, Richard Bowden
[2015 TCSVT] Resolving Ambiguous Hand Pose Predictions by Exploiting Part Correlations. [PDF]
Hui Liang, Junsong Yuan, Daniel Thalmann
[2015 IJCV] Estimate Hand Poses Efficiently from Single Depth Images. [PDF] [Project Page] [Code]
Chi Xu, Ashwin Nanjappa, Xiaowei Zhang, Li Cheng
[2014 TMM] Parsing the Hand in Depth Images. [PDF] [Project Page] [Code]
Hui Liang, Junsong Yuan, Daniel Thalmann
Theses
[2017 Thesis] Capturing Hand-Object Interaction and Reconstruction of Manipulated Objects. [PDF] [Project Page]
Dimitrios Tzionas, University of Bonn
[2016 Thesis] Tracking Hands in Action for Gesture-based Computer Input. [PDF]
Srinath Sridhar, Max Planck Institute for Informatics
[2016 Thesis] 3D hand pose regression with variants of decision forests. [PDF] [Project Page]
Danhang Tang, Imperial College London
[2016 Thesis] Deep Learning for Human Motion Analysis. [PDF] [Project Page]
Natalia Neverova, National Institut of Applied Science (INSA de Lyon), France
[2016 Thesis] Real time hand pose estimation for human computer interaction. [PDF] [Project Page]
Philip Krejov, University of Surrey
[2015 Thesis] Efficient Tracking of the 3D Articulated Motion of Human Hands. [PDF]
Iason Oikonomidis, University of Crete
[2015 Thesis] Vision-based hand pose estimation and gesture recognition. [PDF]
Hui Liang, Nanyang Technological University
[2015 Thesis] Localization of Humans in Images Using Convolutional Networks. [PDF]
Jonathan Tompson, New York University
Datasets
NYU Hand Pose Dataset
- Website
- Related Paper: Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks, SIGGRAPH 2014 [PDF]
ICVL Dataset
- Website
- Related Paper: Latent regression forest: Structured estimation of 3d articulated hand posture, CVPR 2014 [PDF]
MARA15 Dataset
- Website
- Related Paper: Cascaded Hand Pose Regression, CVPR 2015 [PDF]
BigHand2.2M Benchmark
- Website
- Related Paper: Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis, CVPR 2017 [PDF]
MARC (FingerPaint) Dataset
- Website
- Related Paper: Accurate, Robust, and Flexible Real-time Hand Tracking, CHI 2015 [PDF]
UCI-EGO Dataset
- Website
- Related Paper: 3D Hand Pose Detection in Egocentric RGB-D Images, ECCVW 2014 [PDF]
Hands in Action Dataset
- Website
- Related Paper: Capturing Hands in Action using Discriminative Salient Points and Physics Simulation, IJCV 2016 [PDF]
HandNet Dataset (Fingertip)
- Website
- Related Paper: Rule of Thumb: Deep Derotation for Improved Fingertip Detection, BMVC 2015 [PDF]
MARA14 Dataset
- Website
- Related Paper: Realtime and Robust Hand Tracking from Depth, CVPR 2014 [PDF]
Dexter 1 Dataset
- Website
- Related Paper: Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data, ICCV 2013 [PDF]
ASTAR Dataset
- Website
- Related Paper: Efficient hand pose estimation from a single depth image, ICCV 2013 [PDF]
Credits:
- [1] Big Hand 2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis, CVPR 2017 [PDF]
- [2] http://arrummzen.net/#HandData
- [3] Capturing Hand-Object Interaction and Reconstruction of Manipulated Objects. [PDF]
Challenges
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation.
3rd International Workshop on Observing and Understanding Hands in Action ( HANDS 2017), ICCV 2017
- Challenge Website
- Submission Website: Frame and Tracking Task, Hand-Object Task
- Document: The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation, arXiv:1704.02463, Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim
Other Related Papers
[2017 ICCV] Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization. [PDF] [Project Page] [Code]
Edoardo Remelli*, Anastasia Tkach*, Andrea Tagliasacchi, Mark Pauly
[2017 Neurocomputing] Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression.
Fourure, Damien, et al.
[arXiv:1704.02463] First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations. [PDF]
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim
[2017 CVPR] SurfNet: Generating 3D shape surfaces using deep residual networks. [PDF]
Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani
[2017 CVPR] Learning from Simulated and Unsupervised Images through Adversarial Training. [PDF] [Project Page] [Code-Tensorflow] [Code-Keras] [Code-Tensorflow-NYU-Hand]
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb
[2016 3DV] Learning to Navigate the Energy Landscape. [PDF] [Project Page]
Julien Valentin, Angela Dai, Matthias Niessner, Pushmeet Kohli, Philip H.S. Torr, Shahram Izadi
[2016 NIPS] DISCO Nets : Dissimilarity Coefficient Networks. [PDF] [Project Page] [Code]
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
[2015 ICCV] 3D Object Reconstruction from Hand-Object Interactions. [PDF] [Project Page]
Dimitrios Tzionas and Juergen Gall
all * .files come from : https://github.com/xinghaochen/awesome-hand-pose-estimation#2017-iccv
paper 154:姿态估计(Hand Pose Estimation)相关总结的更多相关文章
- 相机姿态估计(Pose Estimation)
(未完待续.....) 根据针孔相机模型,相机成像平面一点的像素坐标p和该点在世界坐标系下的3D坐标P有$p=KP$的关系,如果用齐次坐标表示则有: $$dp=KP$$ 其中d是空间点深度(为了将p的 ...
- 手势估计- Hand Pose Estimation
http://blog.csdn.net/myarrow/article/details/51933651 1. 目前进展 1.1 相关资料 1)HANDS CVPR 2016 2 ...
- paper 155:face/head pose estimation
参考来源:http://www.cnblogs.com/lanye/p/5312620.html 人脸姿态估计:pitch,yaw,roll三种角度,分别代表上下翻转,左右翻转,平面内旋转的角度. ...
- 论文阅读理解 - Stacked Hourglass Networks for Human Pose Estimation
http://blog.csdn.net/zziahgf/article/details/72732220 keywords 人体姿态估计 Human Pose Estimation 给定单张RGB图 ...
- 论文笔记 Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation key words:人体姿态估计 Human Pose Estimation 给定单张RGB ...
- human pose estimation
2D Pose estimation主要面临的困难:遮挡.复杂背景.光照.真实世界的复杂姿态.人的尺度不一.拍摄角度不固定等. 单人姿态估计 传统方法:基于Pictorial Structures, ...
- 论文解读:3D Hand Shape and Pose Estimation from a Singl RGB Image
本文链接:https://blog.csdn.net/williamyi96/article/details/89207640由于最近做到了一些 3D Hand Pose Estimation 相关的 ...
- Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video(翻译)
0 - ABSTRACT 许多计算机任务在缺少上下文信息的情况下的处理会更加困难.例如,在多相机跟踪任务下,行人可能在不同照相机下面因为有这不同的姿势和灯光条件而看起来很不一样.类似地,在低分辨率高角 ...
- 论文笔记: Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation 2018-11-03 09:58:58 Paper: http ...
随机推荐
- leetcode 155. 最小栈(c++)
设计一个支持 push,pop,top 操作,并能在常数时间内检索到最小元素的栈. push(x) -- 将元素 x 推入栈中.pop() -- 删除栈顶的元素.top() -- 获取栈顶元素.get ...
- iframe的基础应用
点击top.html里面的按钮,刷新left.html右边的内容 <a href="left.html?id=11111&k=5&b=4" target=& ...
- CET-6 分频周计划生词筛选(Week 3)
点我阅读 Week 3 2016.09.11 p113 manipulate + propel p114 expedition + deficit p115 all p116 envisage p11 ...
- .Net core 2.0 利用Attribute获取MVC Action来生成菜单
最近在学习.net core的同时将老师的MVC5项目中的模块搬过来用,其中有一块就是利用Attribute来生成菜单. 一·首先定义Action实体 /// <summary> /// ...
- python包的补充
1.包A和包B下有同名模块也不会冲突,如A.a与B.a来自俩个命名空间 2.常见目录结构 import os 2 os.makedirs('glance/api') 3 os.makedirs('gl ...
- Tensorflow机器学习入门——MINIST数据集识别
参考网站:http://www.tensorfly.cn/tfdoc/tutorials/mnist_beginners.html #自动下载并加载数据 from tensorflow.example ...
- Linux学习之文件搜索命令
一.文件搜索命令locate locate 文件名 在后台数据库中按文件名搜索,搜索速度最快 /var/lib/mlocate #locate命令所搜索的后台数据库(数据库不会实时刷新,所以新建的文件 ...
- Js数据去重复,时间更换格式,cookie,localStorage和sessionStorage的使用等通用方法
一,数组去重复 function unique(arr) { // 遍历arr,把元素分别放入tmp数组(不存在才放) var tmp = new Array(); for (var i in arr ...
- 2018-2-13-C#-复制列表
title author date CreateTime categories C# 复制列表 lindexi 2018-2-13 17:23:3 +0800 2018-2-13 17:23:3 +0 ...
- SELECT - 从表或视图中取出若干行
SYNOPSIS SELECT [ ALL | DISTINCT [ ON ( expression [, ...] ) ] ] * | expression [ AS output_name ] [ ...