A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition

arXiv:2304.11959v2 Announce Type: replace
Abstract: Automatic Pill Recognition (APR) systems are crucial for enhancing hospital efficiency, assisting visually impaired individuals, and preventing cross-infection. However, most existing deep learning-based pill recognition systems can only perform classification on classes with sufficient training data. In practice, the high cost of data annotation and the continuous increase in new pill classes necessitate the development of a few-shot class-incremental pill recognition system. This paper introduces the first few-shot class-incremental pill recognition framework, named Discriminative and …

arxiv class cs.ai cs.cv few-shot framework incremental recognition type