WP-FSCIL: A Well-Prepared Few-Shot Class-Incremental Learning Framework for Pill Recognition

Jinghua Zhang, Chen Li, Marco Cristani, Hongzan Sun, Marcin Grzegorzek, Huiling Chen

Open source

DOI
10.1109/jbhi.2025.3548691
Published
2026-06
Container
IEEE Journal of Biomedical and Health Informatics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/jbhi.2025.3548691,
  title = {WP-FSCIL: A Well-Prepared Few-Shot Class-Incremental Learning Framework for Pill Recognition},
  author = {Jinghua Zhang and Chen Li and Marco Cristani and Hongzan Sun and Marcin Grzegorzek and Huiling Chen},
  year = {2026},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  doi = {10.1109/jbhi.2025.3548691},
  url = {https://doi.org/10.1109/jbhi.2025.3548691}
}

RIS

TY  - JOUR
TI  - WP-FSCIL: A Well-Prepared Few-Shot Class-Incremental Learning Framework for Pill Recognition
AU  - Jinghua Zhang
AU  - Chen Li
AU  - Marco Cristani
AU  - Hongzan Sun
AU  - Marcin Grzegorzek
AU  - Huiling Chen
PY  - 2026
JO  - IEEE Journal of Biomedical and Health Informatics
DO  - 10.1109/jbhi.2025.3548691
UR  - https://doi.org/10.1109/jbhi.2025.3548691
ER  - 

APA

Zhang, J., Li, C., Cristani, M., Sun, H., Grzegorzek, M., & Chen, H. (2026). WP-FSCIL: A Well-Prepared Few-Shot Class-Incremental Learning Framework for Pill Recognition. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2025.3548691

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