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图像视觉领域部分开源代码2-2015

时间:2019-06-10 13:43:07来源:IT技术作者:seo实验室小编阅读:70次「手机版」
 

源代码2

图像视觉领域部分开源代码2

场景识别: 

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust 

Semantic Pixel-Wise Labelling 

https://github.com/alexgkendall/caffe-segnet

Tracking: 

Learning to Track: Online Multi-Object Tracking by Decision Making ICCV2015 

使用 Markov Decision Processes 做跟踪,速度可能比较慢,效果应该还可以 

https://github.com/yuxng/MDP_Tracking

Car detection: 

Integrating context and Occlusion for Car Detection by Hierarchical And-or Model ECCV2014 

http://www.stat.ucla.edu/~boli/projects/context_occlusion/context_occlusion.html

Face detection

人脸检测2015进展:http://www.cvrobot.net/latest-progress-in-face-detection-2015/

Face detection without bells and whistles 

project:http://markusmathias.bitbucket.org/2014_eccv_face_detection/ 

Code:https://bitbucket.org/rodrigob/doppia 

Talk: http://videolectures.net/eccv2014_mathias_face_detection/ (不错的报告)

From Facial Parts responses to Face Detection: A Deep Learning APProach ICCV2015 email to get code and model 

http://personal.ie.cuhk.edu.hk/~ys014/projects/Faceness/Faceness.html

A Fast and Accurate Unconstrained Face Detector 2015 PAMI 

简单 快速 有效 

http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/

Face Alignment 

Face Alignment by Coarse-to-Fine Shape Searching 

http://mmlab.ie.cuhk.edu.hk/projects/CFSS.html

Face recognition 

Deep face recognition 

http://www.robots.ox.ac.uk/~vgg/software/vgg_face/

Person Re-identification : 

Query-adaptive Late Fusion for Image Search and Person Re-identification 

CVPR2015 

http://www.liangzheng.com.cn/Project/project_fusion.html

Efficient Person Re-identification by Hybrid Spatiogram and Covariance Descriptor CVPR2015 Workshops 

https://github.com/Myles-ZMY/HSCD

Person Re-Identification by Iterative Re-Weighted Sparse Ranking PAMI 2015 

http://www.micc.unifi.it/masi/code/isr-re-id/ 没有特征提取代码

Person re-identification by local Maximal Occurrence representation and metric learning CVPR2015 

http://www.cbsr.ia.ac.cn/users/scliao/projects/lomo_xqda/

Head detection 

Context-aware CNNs for person head detection 

Matlab code & dataset avaiable 

http://www.di.ens.fr/willow/research/headdetection/

Pedestrian detection

Pedestrian Detection with Spatially pooled Features and structured Ensemble Learning PAMI 2015 

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features ECCV2014 

https://github.com/chhshen/pedestrian-detection

Object detection 

Object detection via a multi-region & semantic segmentation-aware CNN model 

https://github.com/gidariss/mrcnn-object-detection

DeepBox: Learning Objectness with Convolutional Networks ICCV2015 

proposal re-ranker 

https://github.com/weichengkuo/DeepBox

Object-Proposal Evaluation Protocol is ‘Gameable’ 好多 Proposal 代码 

https://github.com/BATra-mlp-lab/object-proposals

Deep Learning 

Deeply Learned Attributes for Crowded Scene understanding 

https://github.com/amandajshao/www_deep_crowd 

http://www.ee.cuhk.edu.hk/~jshao/WWWCrowdDataset.html

Human Pose Estimation 

DeepPose: Human Pose Estimation via Deep Neural Networks, CVPR2014 

https://github.com/mitmul/deeppose not official implementation

Articulated Pose Estimation by a Graphical Model with Image Dependent pairwise Relations NIPS 2014 

http://www.stat.ucla.edu/~xianjie.chen/projects/pose_estimation/pose_estimation.html

Learning Human Pose Estimation Features with Convolutional Networks 

https://github.com/stencilman/deep_nets_iclr04

Flowing ConvNets for Human Pose Estimation in Videos 

http://www.robots.ox.ac.uk/~vgg/software/cnn_heatmap/

杂项 

Unsupervised Learning of Visual Representations using Videos 很有前途啊! 

https://github.com/xiaolonw/caffe-video_triplet

数据 

MPII Human Pose Dataset 

http://human-pose.mpi-inf.mpg.de/#overview

DPM 

将voc-release4.0.1 linux 转到windows 

http://blog.csdn.net/masibuaa/article/details/17577195

开源车牌识别代码 

支持美国和欧洲车牌 

http://www.openalpr.com

参考文献:

  1. http://www.cnblogs.com/einyboy/p/3594432.html

  2. http://blog.csdn.net/cv_family_z/article/details/49902011

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