论文完整标题:Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results 阅读完上一篇半监督结合自监督方法做动作提议生成的论文后对于半监督分支的Mean Teacher框架的原理和具体是怎么做的不是很了解,因此继续阅读延伸出的本篇论文。 Intro/Motive 直觉:...
Mean Teachers 原文:Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Mean Teachers 可以看做是Temporal Ensembling基础上的改进做法。 Temporal Ensembling构建出一个标准的输出向量 z~ ,用来作为一致性正则化的比较标准。而在Mean Teachers中,将...
现在它可以在每一步而不是每一个epoch之后聚合信息。此外,由于权重平均值改善了所有层的输出,而不仅仅是顶层输出,因此目标模型具有更好的中间表示。与时序集成相比,这些方面带来了两个实际优势:首先,更准确的目标标签导致学生和教师模型之间更快的反馈循环,从而提高测试准确性。其次,该方法适用于大型数据集和在线学习。
Mean teachers are better role models 都可以用于预测,但在训练结束时,教师的预测更可能是正确的。带有未标记样本的训练步骤与此类似,但不应用分类损失。与直接使用最终权重相比,在训练步骤中平均模型权重往往产生更精确的模型[19]。我们可以在...致的预测。然而,由于目标每一个epoch只改变一次,当学习大的时候,时间...
论文标题: Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen(芬兰,阿尔托大学), Harri Valpola (The Curious AI Company) 作者有一句话**... 查看原文 半监督学习:Π-Model、Temporal Ensembling、Mean Teacher , A., Val...
论文:Mean teachers are better role models: Weight-averaged consistency targets improvesemi-supervised deep learning results 代码:https://github.com/CuriousAI/mean-teacher 一、背景 本文的目标是在学生模型和教师模型完全相同的情况下,从学生模型中逐步形成一个表现更好的教师模型。
Mean teachers are better role models:Weight-averaged consistency targets improvesemi-supervised deep learning resultsAntti TarvainenThe Curious AI Companyand Aalto Universityantti.tarvainen@aalto.fiHarri ValpolaThe Curious AI Companyharri@cai.fiAbstractThe recently proposed Temporal Ensembling has achieved ...
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results The pipeline of the mean-teacher framework for classification 研究背景 随着人工智能技术在医疗领域的应用越来越广泛,开发自动、准确和可靠的医学图像处理算法对于计算机辅助诊断和手术导航系统至...
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results 来自 arXiv.org 喜欢 0 阅读量: 1699 作者:A Tarvainen,H Valpola 摘要: The recently proposed Temporal Ensembling has achieved state-of-the-art results in several semi-supervised ...
Tarvainen, A., Valpola, H. (2017). Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results arXivhttps://arxiv.org/abs/1703.01780 https://tech.meituan.com/tags/半监督学习.html ...