To ensure good performance, modern machine learning models typically require large
amounts of quality annotated data. Meanwhile, the data collection and annotation processes …

Data augmentation is a major component of many machine learning methods with state-of-
the-art performance. Common augmentation strategies work by drawing random samples …

Deep learning models need large amounts of data for training. In video recognition and
classification, significant advances were achieved with the introduction of new large …