Hard Negative Mining在各种机器学习任务中都有广泛的应用,尤其是在目标检测、人脸验证等需要精细分类的任务中。例如,在目标检测任务中,背景区域通常被视为负样本。通过Hard Negative Mining,我们可以找到那些容易被误分类为背景的目标区域,从而提高检测模型的准确性。 伪代码实现 下面是一个简单的Hard Negative Min
hard negative mining的实现贯穿于网络的训练过程，简单来说有以下三个步骤1.目标检测中如何根据有标签的...
难负例挖掘(Hard Negative Mining)就是在训练时,尽量多挖掘些难负例(hard negative)加入负样本集,这样会比easy negative组成的负样本集效果更好。 二、R-CNN中的hard negative mining 对于现在的我们,首先遇到难负例挖掘应该是R-CNN的论文,论文关于hard negative mining的部分引用了两篇论文: Object detection with...
最近一直在看关于CNN的目标检测的文章,在这中间会经常看到hard negative mining这个名词,在这里把这个词解释一下:假设给你一堆包含一个或多个人物的图片,并且每一个人都给你一个bounding box做标记,如果要训练一个分类器去做分类的话,你的分类器需要既包含正训练样本(人)和负训练样本(背景)。 你通过观察bounding ...
Mining Negative Generalized Knowledge from Relational Databases. Knowledge-Based Systems, 2011,24( 1) ,134 - 145Wu;Y;Y;Chen;Y;L;Chang;R;I.Mining negative generalized knowledge from relational databases.0.134-145Wu Yuying,Chen Yenliang,Chang R I.Miningnegative generalized knowledge from relational...
《Hard Negative Mining for Metric Learning Based Zero-Shot Classification》M B (Palaiseau), S H (Palaiseau), F Jurie [The French Aerospace Lab & Normandie Univ] (2016) O网页链接 k收起 f查看大图 m向左旋转 n向右旋转标签: 论文 ...
To address the above intrinsic complexities in NSP mining and make it efficient for real-life applications, this paper proposes an innovative, flexible and efficient framework: the set theory-based NSP mining framework (ST-NSP) and a comprehensive algorithm called e-NSP to instantiate the ST-NSP...
The non-negative matrix factorization toolbox for biological data mining. Source Code Biol. Med. 8, 10 (2013). Article PubMed PubMed Central Google Scholar Download references Acknowledgements This work was supported by the European Union Seventh Framework Programme (FP7-ICT-2011.9.11) under ...
(SSPL), a negative-free method for sound localization via explicit positive mining. Specifically, we first devise a three-stream network to elegantly associate sound source with two augmented views of one corresponding video frame, leading to semantically coherent similarities between audio and visual ...
T.J.T., A.S.K., S.D.S., S.D.B., C.L., M.C.J. and M.K. designed the study. R.O.J. and F.L. performed the sequence mining. F.L. developed the combinatorial library framework. F.L., R.N., R.O.J., L.W., C.L. and M.K. performed all strain engineering. A...