We study the new task of class-incremental Novel Class Discovery (class-iNCD), which refers to the problem of discovering novel categories in an unlabelled data set by leveraging a pre-trained model that has been trained on a labelled data set containing disjoint yet related categories. Apart ...
So there is a strong belief that one-class classification is a promising research direction for data stream analysis—it can be used for binary classification without an access to counterexamples, decomposing a multi-class data stream, outlier detection or novel class recognition. This paper reports ...
This paper presents a novel framework to detect shot boundaries based on the One-Class Support Vector Machine (OCSVM). Instead of comparing the difference between pair-wise consecutive frames at a specific time, we measure the divergence between two OCSVM clas-sifiers, which are learnt from two...
Finally, the novelty detector implements an extreme-value detector allowing the network to identify whenever novel information is presented as a new class. At the end, we measure the impact of incremental training with generated data from previously learned information while learning a new task. ...