Mimicking the oracle: an initial phase decorrelation approach for class incremental learning
Class Incremental Learning (CIL) aims at learning a classifier in a phase-by-phase manner, in which only data of a subset of the classes are provided at each phase. Previous works mainly focus on mitigating forgetting in phases after the initial one. However, we find that improving CIL at its initia...
| Hauptverfasser: | , , , , , , , |
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| Format: | Conference item |
| Sprache: | English |
| Veröffentlicht: |
IEEE
2022
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