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Deep artificial neural networks require a large corpus of training data in order to effectively learn, where collection of such training data is often expensive and laborious.
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Deep face recognition
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Improved aircraft recognition for aerial refueling through data augmentation in convolutional neural networks
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Cnn features off-the-shelf: an astounding baseline for recognition
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Do we really need to collect millions of faces for effective face recognition
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Imagenet large scale visual recognition challenge
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. Metaxas · 2016
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