Abstract: Few-shot class-incremental learning (FSCIL) aims to continually learn novel data with limited samples. One of the major challenges is the catastrophic forgetting problem of old knowledge ...
Inter-class and Intra-class Relationships Incorporated Knowledge Distillation for Continual Learning
Abstract: Continual learning enables models to learn sequentially from a stream of tasks while retaining previously acquired knowledge. However, current methods lack the attention of tasks with ...
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