A Survey on Face Data Augmentation

26 Apr 2019Xiang WangKai WangShiguo Lian

The quality and size of training set have great impact on the results of deep learning-based face related tasks. However, collecting and labeling adequate samples with high quality and balanced distributions still remains a laborious and expensive work, and various data augmentation techniques have thus been widely used to enrich the training dataset... (read more)

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