WP-FSCIL: A Well-Prepared Few-Shot Class-Incremental Learning Framework for Pill Recognition
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T19:31:02.337Z