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Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration
Few shot class incremental learning (FSCIL) is an extremely challenging but valuable problem in real-world applications. When faced with novel few shot tasks in each incremental stage, it should take into account both catastrophic forgetting of old knowledge and overfitting of new categories with li...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217101/ https://www.ncbi.nlm.nih.gov/pubmed/37238532 http://dx.doi.org/10.3390/e25050776 |