RARL is a rehearsal-based incremental open set recognition method that drops inactive prototypes from the classifier loss, adds virtual class interactions, and rectifies old/new boundaries to outperform prior CIL and OSR baselines on CIFAR100 and TinyImageNet.
Rainbow memory: Continual learn- ing with a memory of diverse samples
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Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
RARL is a rehearsal-based incremental open set recognition method that drops inactive prototypes from the classifier loss, adds virtual class interactions, and rectifies old/new boundaries to outperform prior CIL and OSR baselines on CIFAR100 and TinyImageNet.