转载链接:https://www.jianshu.com/p/4e5b3e652639 Szegedy在2015年发表了论文Rethinking the Inception Architecture for Computer Vision,该论文对之前的Inception结构提出了多种优化方法,来达到尽可能高效的利用计算资源的目的.作者认为随意增大Inception的复杂度,后果就是Inception的错误率很容易飙升,还会成倍的增加计算量,所以必须按照一套合理的规则来优化Inception结构…
这一篇论文很不错,也很有价值;它重新思考了googLeNet的网络结构--Inception architecture,在此基础上提出了新的改进方法; 文章的一个主导目的就是:充分有效地利用computation; 第一部分: 文章提出了四个principles: 原则1:设计网络的时候需要避免 representational bottlenecks; 什么意思呢? 文章中说: 层与层之间进行 information 传递时,要避免这个过程中的数据的extreme compression,也就…
Inception V3网络(注意,不是module了,而是network,包含多种Inception modules)主要是在V2基础上进行的改进,特点如下: 将滤波器尺寸(Filter Size)较大的卷积分解成若干滤波器尺寸较小的卷积.根据作者在论文中提出的optimization ideas,大卷积总可以被分解成3*3卷积层序列,而且需要的话还可以进一步分解成更小的卷积,如n*1卷积,事实上,这比2*2卷积层更好.对大卷积层进行分解的好处显而易见,既可以加速计算(多余的计算能力可以用来加…
https://arxiv.org/abs/1512.00567 Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gai…
前言 最近有一个idea需要去验证,比较忙,看完Mask R-CNN论文了,最近会去研究Mask R-CNN的代码,论文解析转载网上的两篇博客 技术挖掘者 remanented 文章1 论文题目:Mask R-CNN 论文链接:论文链接 论文代码:Facebook代码链接:Tensorflow版本代码链接:] to compute the exact values of the input features at four regularly sampled locations in each…
    WTF is computer vision? Posted Nov 13, 2016 by Devin Coldewey, Contributor   Next Story   Someone across the room throws you a ball and you catch it. Simple, right? Actually, this is one of the most complex processes we've ever attempted to compr…
Analyzing The Papers Behind Facebook's Computer Vision Approach Introduction You know that company called Facebook? Yeah, the one that has 1.6 billion people hooked on their website. Take all of the happy birthday posts, embarrassing pictures of you…
The picture above is funny. But for me it is also one of those examples that make me sad about the outlook for AI and for Computer Vision. What would it take for a computer to understand this image as you or I do? I challenge you to think explicitly…
CVPR 2013 (http://www.pamitc.org/cvpr13/tutorials.php) Foundations of Spatial SpectroscopyJames Coggins (ViaSat)https://sites.google.com/site/spatialspectroscopy/pdf file not found, see talk videos here:http://techtalks.tv/events/315/599/ Large-scale…
ICCV 2013 (http://www.iccv2013.org/tutorials.php) Don't Relax: Why Non-Convex Algorithms are Often Needed for Sparse EstimationDavid Wipf (MS Research)http://research.microsoft.com/en-us/people/davidwip/wipf_iccv_slides_final.pdf Part-based Models fo…