A Framework for Few-shot Class-incremental Pill Recognition

Developing a novel framework, DBC-FSCIL, for few-shot class-incremental pill recognition that combines forward-compatible and backward-compatible learning components to enhance discriminative feature learning and reduce storage requirements.