Class incremental learning of remote sensing images based on class similarity distillation

When a well-trained model learns a new class, the data distribution differences between the new and old classes inevitably cause catastrophic forgetting in order to perform better in the new class. This behavior differs from human learning. In this article, we propose a class incremental object dete...

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Detalles Bibliográficos
Autores principales: Shen, Mingge, Chen, Dehu, Hu, Silan, Xu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557500/
https://www.ncbi.nlm.nih.gov/pubmed/37810339
http://dx.doi.org/10.7717/peerj-cs.1583

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557500/
https://www.ncbi.nlm.nih.gov/pubmed/37810339
http://dx.doi.org/10.7717/peerj-cs.1583

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