Prompt-based learning for few-shot class-incremental learning

Few-Shot Class-Incremental Learning (FSCIL) aims to enable deep neural networks to incrementally learn new tasks from a limited number of labeled samples, while retaining knowledge of previously learned tasks, mimicking the way humans learn. In this paper, we introduce a novel approach called Prompt...

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Bibliografiska uppgifter

Huvudupphov:	Jicheng Yuan, Hang Chen, Songsong Tian, Wenfa Li, Lusi Li, Enhao Ning, Yugui Zhang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2025-05-01
Serie:	Alexandria Engineering Journal
Ämnen:	Few-shot class-incremental learning Prompt learning Prototype classifier Catastrophic forgetting
Länkar:	http://www.sciencedirect.com/science/article/pii/S1110016825001735
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