AUGMENTING DATA USING GAUSSIAN MIXTURE EMBEDDING FOR IMPROVING LAND COVER SEGMENTATION
The use of convolutional neural networks improved greatly data synthesis in the last years and have been widely used for data augmentation in scenarios where very imbalanced data is observed, such as land cover segmentation.Balancing the proportion of classes for training segmentation models can be very challenging considering that samples where al