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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| 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 |