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Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras

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Pseudo-Label-Keras

A semi-supervised learning approach using pseudo labels. Implemented on Keras, evaluated on CIFAR-10.

Result

VGG-like 10-layer CNN

# True Labels Supervised Pseudo Labels Pseudo Gain # Pseudo Labels
500 39.81% 39.02% -0.79% 49500
1000 47.95% 50.89% 2.94% 49000
5000 69.41% 74.58% 5.17% 45000
10000 77.96% 80.46% 2.50% 40000

vs MobileNet Transfer Leaning

Pseudo Labels ImageNet Weights N=500 N=1000 N=5000 N=10000
No Yes 51.77% 60.13% 68.23% 74.92%
No No 22.70% 30.81% 55.27% 65.77%
Yes No 34.26% 44.95% 63.39% 72.94%
Yes Yes 46.14% 51.37% 65.00% 73.86%

Reference

Dong-Hyun, Lee. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks. 2013 http://deeplearning.net/wp-content/uploads/2013/03/pseudo_label_final.pdf

Details(Japanese)

CIFAR-10を疑似ラベル(Pseudo-Label)を使った半教師あり学習で分類する https://qiita.com/koshian2/items/f4a458466b15bb91c7cb

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Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras

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