F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
When labeled training data is scarce, a promising data augmentation approach is to generate visual features of unknown classes using their attributes. To learn the class conditional distribution of CNN features, these models rely on pairs of image features and class attributes. Hence, they can not make use of the …