Class2Str: End to End Latent Hierarchy Learning
Class2Str: End to End Latent Hierarchy Learning
Deep neural networks for image classification typically consists of a convolutional feature extractor followed by a fully connected classifier network. The predicted and the ground truth labels are represented as one hot vectors. Such a representation assumes that all classes are equally dissimilar. However, classes have visual similarities and often …