THOR: Tracking Holistic Object Representations BMVC 2019 Oral 2019-08-04 10:30:09 Paper: https://arxiv.org/pdf/1907.12920 Project: https://sites.google.com/view/vision-thor/ Code: https://github.com/xl-sr/THOR Related Papers: (利用外部记忆网络来动态更新目标模板) 1. L…

Abstract 问题: 1)evaluation is often not suffcient 2)biased for certain types of algorthms 3)datasets do not have common ground-truth object positions or extents 4)the initial conditions or parameters of the evaluated tracking algorithms are not the sa…

Video来源地址 一直都觉得粒子滤波是个挺牛的东西,每次试图看文献都被复杂的数学符号搞得看不下去.一个偶然的机会发现了Rob Hess(http://web.engr.oregonstate.edu/~hess/)实现的这个粒子滤波.从代码入手,一下子就明白了粒子滤波的原理.根据维基百科上对粒子滤波的介绍(http://en.wikipedia.org/wiki/Particle_filter),粒子滤波其实有很多变种,Rob Hess实现的这种应该是最基本的一种,Sampling Impor…

Awesome Object Detection 2018-08-10 09:30:40 This blog is copied from: https://github.com/amusi/awesome-object-detection This is a list of awesome articles about object detection. R-CNN Fast R-CNN Faster R-CNN Light-Head R-CNN Cascade R-CNN SPP-Net Y…

ICLR 2014 International Conference on Learning Representations Apr 14 - 16, 2014, Banff, Canada Workshop Track Submitted Papers Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence Mathias Berglund, Ta…

Thanks to the Python data model, your user-defined types can behave as naturally as the built-in types. And this can be accomplished without inheritance, in the spirit of duck typing: you just implement the methods needed for your objects to behave a…

Research Code A rational methodology for lossy compression - REWIC is a software-based implementation of a a rational system for progressive transmission which, in absence of a priori knowledge about regions of interest, choose at any truncation time…

@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…

DML学习原文链接:http://blog.csdn.net/lzt1983/article/details/7884553 一篇metric learning(DML)的综述文章,对DML的意义.方法论和经典论文做一个介绍,同时对我的研究经历和思考做一个总结.可惜一直没有把握自己能够写好,因此拖到现在. 先列举一些DML的参考资源,以后有时间再详细谈谈. 1. Wikipedia 2. CMU的Liu Yang总结的关于DML的综述页面.对DML的经典算法进行了分类总结,其中她总结的论文非常有…

Self-Supervised Representation Learning 2019-11-11 21:12:14  This blog is copied from: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.html Self-Supervised Representation Learning Nov 10, 2019 by Lilian Weng representation-le…