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GitHub - CuriousAI/mean-teacher: A state-of-the-art semi-supervised method for image recognitiongithub.com/CuriousAI/mean-teacher 由于原文的代码是使用比较久远的PyTorch版本,存在一些因版本冲突导致的bug,所以这里给出fork源码并做修改的代码版本: https://github.com/Hugo-cell111/mean-teachergithub...
Take a supervised architecture and make a copy of it. Let's call the original model thestudentand the new one theteacher. At each training step, use the same minibatch as inputs to both the student and the teacher but add random augmentation or noise to the inputs separately. ...
因此,通过进行额外的前向传播就能够让mean teacher model中的BN层能够成功维护内部的均值以及标准差变量。这也许刚好能够解释为什么同样是使用了含有BN层的模型作为backbone,有的工作在使用mean teacher的官方实现后却没有遇到崩溃问题。 结语 Batch Normalization与Mean Teacher这两项技术早已被广泛应用于深度学习相关的工作...
mean_teacher tests __init__.py architectures.py cli.py data.py datasets.py losses.py ramps.py run_context.py utils.py .gitignore README.md main.py pytest.ini tensorflow .gitattributes .gitignore LICENSE.md README.md mean_teacher.png nips_2017_poster.pdf nips_2017_slides.pdfBreadcrumbs mea...
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。 首先,由于模型的 softmax 输出通常不能获得在训练数据之外的准确预测,所以可以考虑在训练数据中添加一些噪声来缓解,有噪声的教师模型可以产生更准确的结果,...
This is the Pytorch Re-Implementation of three Semi Supervised Classification method on Cifar-100 Dataset using ConvLarge Architecture - GitHub - iSarmad/MeanTeacher-SNTG-HybridNet: This is the Pytorch Re-Implementation of three Semi Supervised Classif
A state-of-the-art semi-supervised method for image recognition - mean-teacher/tensorflow/experiments at master · CuriousAI/mean-teacher
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