1 单目标跟踪
单目标跟踪的benchmark
https://github.com/foolwood/benchmark_results
总结性文章
传统方法
Understanding and Diagnosing Visual Tracking Systems
深度学习
Object Visual Tracking with Deep Learning Methods
2 多目标跟踪
https://motchallenge.net/tracker/AMIR
https://ps.is.tuebingen.mpg.de/publications/people-tracking
这个关于无人车的总结里有一系列的文章
http://www.cvlibs.net/projects/autonomous_vision_survey/
数据集
http://vision.cs.duke.edu/DukeMTMC/details.html
paper list of MOT
http://perception.yale.edu/Brian/refGuides/MOT.html
tracking:
http://www.ipcv.org/code-objtracking/
3 语意分割
一篇关于语意分割的总结文章：
http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review
Pascal VOC榜单
http://host.robots.ox.ac.uk:8080/leaderboard/displaylb.php?challengeid=11&compid=6
大道至简的CSDN博客
http://blog.csdn.net/zhangjunhit/article/category/6809642
开源代码
https://github.com/mrgloom/awesome-semantic-segmentation
https://github.com/meetshah1995/pytorch-semseg
http://blog.csdn.net/zziahgf/article/details/72639791
4 目标检测
Pascal VOC榜单
http://host.robots.ox.ac.uk:8080/leaderboard/displaylb.php?challengeid=11&compid=4
大道至简的CSDN博客
http://blog.csdn.net/zhangjunhit/article/category/6647655
5 开源代码
http://blog.csdn.net/zhangjunhit/article/details/53261053
6 检测、分割、跟踪在无人车上的应用的一系列文章总结
http://www.cvlibs.net/projects/autonomous_vision_survey/
7 CNN基础、计算机视觉
网络基础
https://github.com/robertsdionne/neural-network-papers#convolutional-neural-networks
计算机视觉各方面的系列论文
https://github.com/kjw0612/awesome-deep-vision
机器学习
https://github.com/ujjwalkarn/Machine-Learning-Tutorials/blob/master/README.md
8 深度学习教程
http://ufldl.stanford.edu/tutorial/supervised/FeatureExtractionUsingConvolution/
caffe class list
http://caffe.berkeleyvision.org/doxygen/annotated.html
http://ethereon.github.io/netscope/quickstart.html
cs231