AI RESEARCH
Effective Prompt Pool Learning for Continual Category Discovery
arXiv CS.CV
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ArXi:2407.19001v3 Announce Type: replace This paper studies effective prompt pool learning for Continual Category Discovery (CCD), a challenging open-world setting where a model must discover novel categories from a continuous stream of unlabelled data containing both known and novel classes, while mitigating catastrophic forgetting of previously learned concepts. We