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Title: GitHub - XRuHa/MVision: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Open Graph Title: GitHub - XRuHa/MVision: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

X Title: GitHub - XRuHa/MVision: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Description: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶 - XRuHa/MVision

Open Graph Description: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶 - XRuHa/MVision

X Description: 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶 - XRuHa/MVision

Opengraph URL: https://github.com/XRuHa/MVision

X: @github

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od.pnghttps://github.com/XRuHa/MVision/blob/master/od.png
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国际会议.mdhttps://github.com/XRuHa/MVision/blob/master/%E5%9B%BD%E9%99%85%E4%BC%9A%E8%AE%AE.md
资料_baiduyun.txthttps://github.com/XRuHa/MVision/blob/master/%E8%B5%84%E6%96%99_baiduyun.txt
资料_baiduyun.txthttps://github.com/XRuHa/MVision/blob/master/%E8%B5%84%E6%96%99_baiduyun.txt
READMEhttps://github.com/XRuHa/MVision
https://github.com/XRuHa/MVision#mvisionmachine-vision-机器视觉
AI算法工程师手册 数学基础 统计学习 深度学习 自然语言处理 工具使用http://www.huaxiaozhuan.com/
AI 安全数据科学和算法 https://github.com/Ewenwan/AI-Security-Learning
澳大利亚机器人视觉研究中心https://www.roboticvision.org/
NIPS Neural Information Processing Systemshttps://papers.nips.cc/
icml Proceedings of Machine Learning Research PMLRhttp://proceedings.mlr.press/index.html
ICDM IEEE International Conference on Data Mininghttp://www.cs.uvm.edu/~icdm/
Computer Vision and Pattern Recognition arxiv.org 最新提交的论文https://arxiv.org/list/cs.CV/recent
papercept 会议论文投递https://controls.papercept.net/conferences/scripts/start.pl
easychair 会议论文投递https://easychair.org/my/roles.cgi?welcome=1
DBLP 计算机核心技术文献https://dblp.uni-trier.de/
技术刘 增强现实、图像识别、深度学习、机器人http://liuxiao.org/category/robots/
漫谈 SLAM 技术（上）https://cloud.tencent.com/developer/article/1005894
漫谈 SLAM 技术（下）https://cloud.tencent.com/developer/article/1005893
优秀的博客论文笔记https://github.com/Ewenwan/antkillerfarm.github.com
CSCI 1430: Introduction to Computer Vision 计算机视觉课程http://cs.brown.edu/courses/csci1430/#schedule
计算机视觉和算法 书籍http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf
Computer vision:models, learning and inference 书籍http://web4.cs.ucl.ac.uk/staff/s.prince/book/book.pdf
TLD：tracking-learning-detection 跟踪算法https://github.com/Ewenwan/opencv_TLD
机器人选修课http://www.diag.uniroma1.it/%7Elanari/EIR/
Andrew Davison的课程： Robotics Lecture Course (course code 333)http://www.doc.ic.ac.uk/~ajd/Robotics/index.html
Simultaneous Localization and Mapping: Part I http://www.doc.ic.ac.uk/~ajd/Robotics/RoboticsResources/SLAMTutorial1.pdf
Simultaneous Localization and Mapping: Part II http://www.doc.ic.ac.uk/~ajd/Robotics/RoboticsResources/SLAMTutorial2.pdf
瑞士苏黎世理工的学生练习http://www.csc.kth.se/~kootstra/index.php?item=313&menu=300
书籍 Robotics, Vision & Control 推荐！！！！http://petercorke.com/wordpress/
Robotics, Vision & Control.PDF 百度网盘https://pan.baidu.com/s/1c1TcEgo
Robotics, Vision and Control csdnhttps://download.csdn.net/download/u013834525/10169878
优达学城 机器人人工智能课程https://classroom.udacity.com/courses/cs373
学习无人驾驶车，你所必须知道的https://zhuanlan.zhihu.com/p/27686577
强化学习从入门到放弃的资料https://zhuanlan.zhihu.com/p/34918639?utm_source=wechat_session&utm_medium=social&wechatShare=1&from=singlemessage&isappinstalled=0
台大 机器学习深度学习课程http://speech.ee.ntu.edu.tw/~tlkagk/courses_MLSD15_2.html
斯坦福CS231计算机视觉2017http://www.mooc.ai/course/268/learn?lessonid=1819#lesson/1819
深度学习程序示例 cs231n等https://github.com/autoliuweijie/DeepLearning
2018 MIT 6.S094 麻省理工深度学习和自动驾驶课程 中文http://www.mooc.ai/course/483/notes
MIT 深度学习和自动驾驶课程 英文https://selfdrivingcars.mit.edu/
DeepTraffichttps://selfdrivingcars.mit.edu/deeptraffic/
SegFuse: Dynamic Driving Scene Segmentationhttps://selfdrivingcars.mit.edu/segfuse/
DeepTesla - End-to-End Steering Modelhttps://selfdrivingcars.mit.edu/deeptesla/
中文slam首页http://www.slamcn.org/index.php/%E9%A6%96%E9%A1%B5
ORB-LSD-SVO比较-刘浩敏_bilibilihttps://www.bilibili.com/video/av5934066/
LSD算法代码解析http://www.cnblogs.com/shhu1993/p/7136033.html
SVO算法代码解析http://www.cnblogs.com/shhu1993/p/7135847.html
DSO 半闲居士 解析https://zhuanlan.zhihu.com/p/29177540
路径规划A*算法及SLAM自主地图创建导航算法http://www.voidcn.com/article/p-yfjpnwte-tz.html
冯兵的blog slamhttp://www.fengbing.net
imu和单目的数据融合开源代码（EKF)https://github.com/ethz-asl/rovio
imu和单目的数据融合开源代码(非线性优化）https://github.com/ethz-asl/okvis_ros
双目立体匹配https://wenku.baidu.com/view/08f86102e518964bcf847c6c.html
计算机视觉的一些库文件https://blog.csdn.net/garfielder007/article/details/50533052
人脸检测总结https://blog.csdn.net/neu_chenguangq/article/details/52983093
行为识别总结https://blog.csdn.net/neu_chenguangq/article/details/79504214
Free-SpaceEstimation 无障碍物空间估计 稠密地图 栅格地图 动态规划 高度分割 路面信息提取http://www.cs.toronto.edu/~urtasun/courses/CSC2541/05_free_space.pdf
2D Object Detection 2d目标检测 RCNN http://www.cs.toronto.edu/~urtasun/courses/CSC2541/05_2D_detection.pdf
3D Object Detection 3D目标检测 动机http://www.cs.toronto.edu/~urtasun/courses/CSC2541/06_3D_detection.pdf
Semantic Segmentation 语义分割http://www.cs.toronto.edu/~urtasun/courses/CSC2541/07_segmentation.pdf
Instance-level Segmentation 实例分割http://www.cs.toronto.edu/~urtasun/courses/CSC2541/08_instance.pdf
Tracking 跟踪 https://github.com/XRuHa/MVision/blob/master
Kalibr calibration toolbox 标定多目相机系统、相机 IMU 相 对 位 姿 和 卷 帘 快 门 相 机 https://github.com/Ewenwan/kalibr
霍夫森林(Hough Forest) 随机森林和霍夫投票在计算机视觉中的应用，可以用在物体检测，跟踪和动作识别https://github.com/Ewenwan/HoughForest
百度自动驾驶开源框架 apollohttps://github.com/Ewenwan/apollo
交通标志检测识别 数据集https://cg.cs.tsinghua.edu.cn/traffic-sign/
Halcon 使用参考https://blog.csdn.net/maweifei/article/details/52613392
有代码的论文https://github.com/Ewenwan/pwc
图像处理基本算法代码http://www.cnblogs.com/Imageshop/p/3430742.html
https://github.com/XRuHa/MVision#无人驾驶的各个方面知识
参考https://blog.csdn.net/qq_40027052/article/details/78485120
https://github.com/XRuHa/MVision#无人驾驶面试知识点
参考博客https://blog.csdn.net/xiangxianghehe/article/details/82528180
https://github.com/XRuHa/MVision#公司
视觉领域的部分国内公司http://www.ipcv.org/cvcom/
https://github.com/XRuHa/MVision#初创公司
图普科技http://www.tuputech.com/
Face++http://www.faceplusplus.com.cn/
Linkfacehttp://www.linkface.cn/index.html
Minieyehttp://www.minieye.cc/cn/
知图Cogtuhttp://www.cogtu.com/?lang=zh
商汤科技Sensetimehttp://www.sensetime.com/cn
亮风台Hiscenehttp://www.hiscene.com/
掌赢科技http://www.zhangying.mobi/index.html
格灵深瞳DeepPGhttp://www.deepglint.com/
凌感科技usenshttp://www.lagou.com/gongsi/j114187.html
图森TuSimplehttp://www.tusimple.com/
中科视拓Seetatech(山世光)http://www.seetatech.com/
第四范式https://www.4paradigm.com/product/prophet
https://github.com/XRuHa/MVision#上市公司
百度DL实验室http://idl.baidu.com/
腾讯优图http://youtu.qq.com/
阿里高德http://www.newsmth.net/nForum/#!article/Career_Upgrade/429476
暴风魔镜http://www.newsmth.net/nForum/#!article/Career_PHD/225254
搜狗http://www.newsmth.net/nForum/#!article/Career_PHD/224449
乐视tvhttp://www.newsmth.net/nForum/#!article/Career_PHD/222651
奇虎360http://www.newsmth.net/nForum/#!article/Career_PHD/222379
京东实验室http://www.newsmth.net/nForum/#!article/Career_PHD/223133/a%3E
阿里巴巴http://www.newsmth.net/nForum/#!article/Career_PHD/222007
联想研究院http://www.newsmth.net/nForum/#!article/Career_PHD/220225
华为研究院http://www.newsmth.net/nForum/#!article/Career_PHD/225976
https://github.com/XRuHa/MVision#知名外企
佳能信息http://www.newsmth.net/nForum/#!article/Career_PHD/222548
索尼研究院http://www.newsmth.net/nForum/#!article/Career_PHD/223437
富士通研发中心http://www.newsmth.net/nForum/#!article/Career_PHD/220654
微软研究院https://careers.microsoft.com/?rg=cn
英特尔研究院http://www.newsmth.net/nForum/#!article/Career_PHD/221175
三星研究院http://www.yingjiesheng.com/job-001-742-124.html
https://github.com/XRuHa/MVision#0-计算摄影摄影几何
计算摄影方面的部分课程讲义http://www.ipcv.org/cp-lecture/
相机内部图像处理流程http://www.comp.nus.edu.sg/~brown/ICIP2013_Brown.html
pdfhttp://www.comp.nus.edu.sg/~brown/ICIP2013_Tutorial_Brown.pdf
CSC320S: Introduction to Visual Computing 视觉计算导论 http://www.cs.toronto.edu/~kyros/courses/320/
Facebook surround 360 《全景图拼接》https://github.com/facebook/Surround360
博客笔记https://blog.csdn.net/electech6/article/details/53618965
深度摄影风格转换 Deep Photo Style Transferhttps://github.com/luanfujun/deep-photo-styletransfer
https://github.com/XRuHa/MVision#图像形变-image-warping
参考http://www.ipcv.org/image-warping/
https://github.com/XRuHa/MVision#色彩增强转换color-transfer
参考http://www.ipcv.org/colortransfer/
https://github.com/XRuHa/MVision#图像修补-image-repair
参考http://www.ipcv.org/imagerepair/
https://github.com/XRuHa/MVision#图像去噪-image-denoise
参考http://www.ipcv.org/imagedenoise/
https://github.com/XRuHa/MVision#图像去模糊-image-deblur
参考http://www.ipcv.org/imagedeblur/
https://github.com/XRuHa/MVision#图像滤波-image-filter
参考http://www.ipcv.org/imagefilter/
https://github.com/XRuHa/MVision#超分辨率-super-resolution
参考http://www.ipcv.org/code-superresolution/
https://github.com/XRuHa/MVision#1三维重建-3d-modeling
参考http://www.ipcv.org/category/code-data/3dd/
https://github.com/XRuHa/MVision#相机矫正camera-calibration
参考http://www.ipcv.org/poseestimation/
https://github.com/XRuHa/MVision#非刚体重建non-rigid-modeling
参考http://www.ipcv.org/nonnigitreco/
https://github.com/XRuHa/MVision#三维重构-3d-modeling
参考http://www.ipcv.org/3dmodeling/
视觉SLAMhttp://www.ipcv.org/on-visual-slam/
Self-augmented Convolutional Neural Networkshttps://github.com/msraig/self-augmented-net
运动估计 motion estimationhttp://www.ipcv.org/on-motion-estimation/
面部变形　face morphing　http://www.ipcv.org/about-face-morphing/
三维重建方面的视觉人物http://www.ipcv.org/people-3d-modeling/
https://github.com/XRuHa/MVision#2--匹配跟踪-matching--tracking
参考http://www.ipcv.org/category/code-data/tracking/
https://github.com/XRuHa/MVision#2a-特征提取-feature-extraction
参考http://www.ipcv.org/featureextraction/
https://github.com/XRuHa/MVision#2b-特征匹配-feature-matching
参考http://www.ipcv.org/code-featmatching/
https://github.com/XRuHa/MVision#2c-时空匹配-space-time-matching
参考http://www.ipcv.org/code-spacetimematching/
https://github.com/XRuHa/MVision#2d-区域匹配-region-matching
参考http://www.ipcv.org/code-regionmatching/
https://github.com/XRuHa/MVision#2e-轮廓匹配-contour-matching
参考http://www.ipcv.org/code-coutourmatching/
https://github.com/XRuHa/MVision#2f-立体匹配-stereo-matching
参考http://www.ipcv.org/code-stereomatching/
双目视觉自动驾 场景物体跟踪paperhttp://www.cvlibs.net/publications/Menze2015CVPR.pdf
kitti双目数据集解决方案http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=stereo
将深度神经网络用于将2D电影转换为3D电影的转换https://github.com/piiswrong/deep3d
神经网络　双目匹配https://github.com/jzbontar/mc-cnn
中山大学张弛博士http://chizhang.me/
Stereo Matching Using Tree Filtering non-local算法在双目立体匹配上的应用 https://blog.csdn.net/wsj998689aa/article/details/45584725
https://github.com/XRuHa/MVision#2g-深度匹配-depth-matching
深度匹配 depth matching http://www.ipcv.org/on-depth-matching/
https://github.com/XRuHa/MVision#2h-姿态跟踪-pose-tracking
参考http://www.ipcv.org/code-posetracking/
https://github.com/XRuHa/MVision#2i-物体跟踪-object-tracking
参考http://www.ipcv.org/code-objtracking/
https://github.com/XRuHa/MVision#2j-群体分析-crowd-analysis
参考http://www.ipcv.org/code-crowdanalysis/
群体运动度量https://github.com/metalbubble/collectiveness
https://github.com/XRuHa/MVision#2k-光流场跟踪-optical-flow
参考http://www.ipcv.org/code-opticalflow/
https://github.com/XRuHa/MVision#3-语义实例分割解析segmentation--parsing
参考http://www.ipcv.org/category/code-data/parsing/
https://github.com/XRuHa/MVision#3a-视频分割--video--segmentation
参考http://www.ipcv.org/video-segmentation/
https://github.com/XRuHa/MVision#3b-人体解析--person-parsing
参考http://www.ipcv.org/code-poseparsing/
person parsinghttp://www.ipcv.org/about-person-parsing/
https://github.com/XRuHa/MVision#3c-场景解析--scene--parsing
scene parsinghttp://www.ipcv.org/about-scene-parsing/
参考http://www.ipcv.org/code-sceneparsing/
https://github.com/XRuHa/MVision#3d-边缘检测--edge---detection
参考http://www.ipcv.org/code-edgedetection/
边缘检测http://www.ipcv.org/on-edge-detection/
https://github.com/XRuHa/MVision#3e-图像物体分割-image-object-segmentation
参考http://www.ipcv.org/code-imobjseg/
https://github.com/XRuHa/MVision#3f-视频物体分割-video-object-segmentation
参考http://www.ipcv.org/code-viobseg/
object segmentationhttp://www.ipcv.org/about-video-object-segmentation/
https://github.com/XRuHa/MVision#3g-交互式分割---interactive-segmentation
参考http://www.ipcv.org/code-intseg/
https://github.com/XRuHa/MVision#3h-共分割------co-segmentation
参考http://www.ipcv.org/code-cosegmentation/
https://github.com/XRuHa/MVision#3i-背景差------background-subtraction
参考http://www.ipcv.org/code-backsub/
https://github.com/XRuHa/MVision#3j-图像分割方面-image-segmentation
参考http://www.ipcv.org/code-imgseg/
https://github.com/XRuHa/MVision#4-识别检测recognition--detection
参考http://www.ipcv.org/category/code-data/detect/
https://github.com/XRuHa/MVision#4a-其他识别-other-recognition
参考http://www.ipcv.org/otherrecog/
https://github.com/XRuHa/MVision#4b-图像检索-image-retrieval
参考http://www.ipcv.org/%e5%9b%be%e5%83%8f%e6%a3%80%e7%b4%a2/
https://github.com/XRuHa/MVision#4c-显著检测-saliency-detection
参考http://www.ipcv.org/saldetection/
https://github.com/XRuHa/MVision#4d-通用物体检测-object-proposal
参考http://www.ipcv.org/code-objproposal/
https://github.com/XRuHa/MVision#4e-行为识别-action-recognition
参考http://www.ipcv.org/code-actionrecogntion/
https://github.com/XRuHa/MVision#4f-物体识别-object-recognition
参考http://www.ipcv.org/code-objrecogntion/
https://github.com/XRuHa/MVision#4g-行人检测-human-detection
参考http://www.ipcv.org/code-humandetection/
https://github.com/XRuHa/MVision#4h-人脸解析-face-parsing
参考http://www.ipcv.org/code-facerecog/
https://github.com/XRuHa/MVision#4i-纹理分析-texture-analysis
纹理分析 Texture Analysishttp://www.ipcv.org/on-texture-analysis/
相关人物http://www.ipcv.org/people-reidentity/
https://github.com/XRuHa/MVision#5-机器学习-maching-learning
参考http://www.ipcv.org/category/code-data/ml/
https://github.com/XRuHa/MVision#5a-生成对抗网络-gan-generative-adversarial-networks
参考http://www.ipcv.org/adversarial-networks/
https://github.com/XRuHa/MVision#5b-深度学习----deep-learning
参考http://www.ipcv.org/deeplearning/
深度学习方面的部分课程讲义http://www.ipcv.org/lecture-deeplearning/
CNN Models 卷积网络模型http://www.ipcv.org/on-object-detection/
Deep Learning Libraries　深度学习软件库http://www.ipcv.org/deep_learning_libraries/
深度学习方面的部分视觉人物http://www.ipcv.org/dl-researcher/
https://github.com/XRuHa/MVision#5c-能量优化----energy-optimization
参考http://www.ipcv.org/energyopt/
https://github.com/XRuHa/MVision#5d-模型设计----model-design
参考http://www.ipcv.org/modelbuilding/
https://github.com/XRuHa/MVision#5e-空间降维----dimention-reduction
参考http://www.ipcv.org/dimention/
https://github.com/XRuHa/MVision#5f-聚类-------clustering
参考http://www.ipcv.org/clustering/
https://github.com/XRuHa/MVision#5g-分类器-----classifier
参考http://www.ipcv.org/classifier/
https://github.com/XRuHa/MVision#6-开源库open-library
参考http://www.ipcv.org/category/code-data/lib/
https://github.com/XRuHa/MVision#7-数据集public-dataset
参考http://www.ipcv.org/category/code-data/dataset/
https://github.com/XRuHa/MVision#7a-其他方面-other-datasets
参考http://www.ipcv.org/otherdb/
人脸检测Face tracking and recognition database http://seqam.rutgers.edu/site/index.php?option=com_content&view=article&id=65&Itemid=76
人脸检测Caltech 10,000 Web Faceshttp://vision.caltech.edu/archive.html
人脸检测Helen datasethttp://www.ifp.illinois.edu/~vuongle2/helen/
深度图 RGB-D datasethttp://mobilerobotics.cs.washington.edu/projects/kdes/
视频分割 2010 ECCV Efficient Hierarchical Graph Based Video Segmentationhttp://www.cc.gatech.edu/cpl/projects/videosegmentation/
手势跟踪 Hand datasethttps://engineering.purdue.edu/RVL/Database.html
手势跟踪2http://www.robots.ox.ac.uk/~vgg/research/hands/index.html
车辆检测 2002 ECCV Learning a sparse representation for object detectionhttp://cogcomp.cs.illinois.edu/Data/Car/
https://github.com/XRuHa/MVision#7b-人体检测-dataset-on-human-annotation
参考http://www.ipcv.org/humandetection/
Caltech Pedestrian Detection Benchmarkhttp://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
Ethzhttp://www.vision.ee.ethz.ch/~aess/dataset/
bleibehttp://www.vision.ee.ethz.ch/~bleibe/data/datasets.html
RGB-D People Datasethttp://www.informatik.uni-freiburg.de/~spinello/RGBD-dataset.html
TUD Campushttp://www.d2.mpi-inf.mpg.de/tud-brussels
382https://www.d2.mpi-inf.mpg.de/node/382
PSU HUB Datasethttp://www.cse.psu.edu/~rcollins/software.html
Pedestrian parsinghttp://vision.ics.uci.edu/datasets/
Human Evahttp://vision.cs.brown.edu/humaneva/
https://github.com/XRuHa/MVision#7c-物体识别-dataset-on-object-recognition
参考http://www.ipcv.org/objectrecognition/
e-Lab Video Data Sethttps://engineering.purdue.edu/elab/eVDS/
Image Nethttp://www.image-net.org/
Places2 Databasehttp://places2.csail.mit.edu
Microsoft CoCo: Common Objects in Contexthttp://mscoco.org/
PASCAL VOChttp://host.robots.ox.ac.uk/pascal/VOC/
MIT’s Place2http://places2.csail.mit.edu/
https://github.com/XRuHa/MVision#7d-显著检测方面-dataset-on-saliency-detection
参考http://www.ipcv.org/saliencydetection/
视觉显著性检测技术发展情况http://blog.csdn.net/anshan1984/article/details/8657176
2012 ECCV Salient Objects Dataset (SOD)http://elderlab.yorku.ca/SOD/
2012 ECCV Neil D. B. Bruce Eye Tracking Datahttp://cs.umanitoba.ca/~bruce/datacode.html
2012 ECCV DOVES:A database of visual eye movementshttp://live.ece.utexas.edu/research/doves/
2012 ECCV MSRA:Salient Object Databasehttp://research.microsoft.com/en-us/um/people/jiansun/SalientObject/salient_object.htm
2012 ECCV NUS: Predicting Saliency Beyond Pixelshttp://www.ece.nus.edu.sg/stfpage/eleqiz/predicting.html
2012 ECCV saliency benchmarkhttp://people.csail.mit.edu/tjudd/SaliencyBenchmark/index.html
2010 ECCV The DUT-OMRON Image Datasethttp://ice.dlut.edu.cn/lu/DUT-OMRON/Homepage.htm
2010 ECCV An eye fixation database for saliency detection in imageshttp://mmas.comp.nus.edu.sg/NUSEF.html
https://github.com/XRuHa/MVision#7e-行为识别-dataset-on-action-recognition
参考http://www.ipcv.org/actionrecognition/
UCFhttp://www.cs.ucf.edu/~liujg/YouTube_Action_dataset.html
ChaoticInvariantshttp://www.cs.ucf.edu/~sali/Projects/ChaoticInvariants/index.html
datasetsActionshttp://vision.eecs.ucf.edu/datasetsActions.html
Hollywood Human Actions datasethttp://www.di.ens.fr/~laptev/download.html
datahttp://lear.inrialpes.fr/data
Weizmann: Actionsas Space-Time Shapeshttp://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
KTHhttp://www.nada.kth.se/cvap/actions/
UMDhttp://www.umiacs.umd.edu/~zhuolin/Keckgesturedataset.html
HMDB: A Large Video Database for Human Motion Recognitionhttp://serre-lab.clps.brown.edu/resources/HMDB/related_data/
Collective Activity Datasethttp://www.eecs.umich.edu/vision/activity-dataset.html
MSR Action Recognition Datasets and Codeshttp://research.microsoft.com/en-us/um/people/zliu/ActionRecoRsrc/default.htm
Visual Event Recognition in Videoshttp://vc.sce.ntu.edu.sg/index_files/VisualEventRecognition/VisualEventRecognition.html
https://github.com/XRuHa/MVision#7f-物体分割-dataset-on-object-segmentation
参考http://www.ipcv.org/objectsegmentation/
microsoft MSRC-V2http://research.microsoft.com/en-us/projects/objectclassrecognition/
2010 CVPR iCoseg: Interactive cosegmentation by touchhttp://chenlab.ece.cornell.edu/projects/touch-coseg/
2010 CVPR Caltech-UCSD Birds 200http://www.vision.caltech.edu/visipedia/CUB-200.html
2010 CVPR Flower Datasetshttp://www.robots.ox.ac.uk/~vgg/data/flowers/
2009 ICCV An efficient algorithm for co-segmentationhttp://www.biostat.wisc.edu/~vsingh/
2008 CVPR Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognitionhttp://people.csail.mit.edu/leozhu/
2008 CVPR Caltech101http://www.vision.caltech.edu/Image_Datasets/Caltech101/
2004 ECCV The Weizmann Horse Databasehttp://www.msri.org/people/members/eranb/
https://github.com/XRuHa/MVision#7g-场景解析-dataset-on-scene-parsing
参考http://www.ipcv.org/sceneparsing/
ImageNethttp://www.image-net.org/
ADE 20khttp://sceneparsing.csail.mit.edu/
Cityscapeshttps://www.cityscapes-dataset.com/
COCOhttp://cocodataset.org/#home
Lab, Kochhttp://www.mis.tu-darmstadt.de/tudds
uiuc, D hoiemhttp://www.cs.illinois.edu/homes/dhoiem/
mit, cbclhttp://cbcl.mit.edu/software-datasets/streetscenes/
mit LabelMeVideohttp://labelme.csail.mit.edu/LabelMeVideo/
2013 BMVC Hierarchical Scene Annotationhttp://www.vision.caltech.edu/~mmaire/
2010 ECCV SuperParsing: Scalable Nonparametric Image Parsing with Superpixelshttp://www.cs.unc.edu/~jtighe/Papers/ECCV10/
2009 Scene Understanding Datasetshttp://dags.stanford.edu/projects/scenedataset.html
2008 IJCV 6D-Visionhttp://www.6d-vision.com/scene-labeling
2008 IJCV The Daimler Urban Segmentation Datasethttp://www.6d-vision.com/scene-labeling
2008 ECCV Motion-based Segmentation and Recognition Datasethttp://mi.eng.cam.ac.uk/research/projects/VideoRec
2008 York Urban Datasethttp://www.elderlab.yorku.ca/YorkUrbanDB/
2008 IJCV LabelMehttp://labelme.csail.mit.edu/LabelMeToolbox/index.html
https://github.com/XRuHa/MVision#8-会议期刊
https://github.com/XRuHa/MVision#cvpr-computer-vision--and--pattern-reconition-计算机视觉和模式识别
https://github.com/XRuHa/MVision#eccv-european-conference-on-computer-vision---欧洲计算机视觉国际会议
https://github.com/XRuHa/MVision#iccv-ieee-international-conference-on-computer-vision--国际计算机视觉大会
https://github.com/XRuHa/MVision#其他
其他http://www.ipcv.org/otherpaper/
https://github.com/XRuHa/MVision#arvr
参考http://www.ipcv.org/category/top-dir/arvr/
Readme https://github.com/XRuHa/MVision#readme-ov-file
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