Few Shot Class Incremental Learning via Grassmann Manifold and Information Entropy

Few Shot Class Incremental Learning via Grassmann Manifold and Information Entropy

Few-shot class incremental learning is a challenging problem in the field of machine learning. It necessitates models to gradually learn new knowledge from a few samples while retaining the knowledge of old classes. Nevertheless, the limited data available for new classes not only leads to significa...

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Bibliographic Details
Main Authors: Ziqi Gu, Zihan Lu, Cao Han, Chunyan Xu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
few-shot class incremental learning
Grassmann manifold
Information entropy
graph embedding
Online Access:https://www.mdpi.com/2079-9292/12/21/4511

Internet

https://www.mdpi.com/2079-9292/12/21/4511

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