Unsupervised Class Incremental Learning using Empty Classes

For real-world applications, deep neural networks (DNNs) must recognize and adapt to previously unseen inputs and changing environments. To achieve this, we propose a novel method to augment DNNs with the capability to identify and incrementally learn novel classes that were not present in their ini... View More