Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

Modern deep neural networks are well known to be brittle in the face of unknown data instances and recognition of the latter remains a challenge. Although it is inevitable for continual-learning systems to encounter such unseen concepts, the corresponding literature appears to nonetheless focus prim...

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Detalles Bibliográficos
Autores principales: Mundt, Martin, Pliushch, Iuliia, Majumder, Sagnik, Hong, Yongwon, Ramesh, Visvanathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028364/
https://www.ncbi.nlm.nih.gov/pubmed/35448220
http://dx.doi.org/10.3390/jimaging8040093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028364/
https://www.ncbi.nlm.nih.gov/pubmed/35448220
http://dx.doi.org/10.3390/jimaging8040093

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