Prototypes as Anchors: Tackling Unseen Noise for online continual learning

To effectively handle noisy labels and unknown classes, an innovative replay-based method Prototypes as Anchors (PAA), which learns representative and discriminative prototypes for each class, and conducts a similarity-based denoising schema in the representation space to distinguish and eliminate the negative impact of unseen classes.