VPAF-FSCIL: Virtual prototype calibration and parameter-adaptive freezing for few-shot class-incremental learning
- DOI
- 10.1016/j.neunet.2026.109094
- Published
- 2026-11
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109094,
title = {VPAF-FSCIL: Virtual prototype calibration and parameter-adaptive freezing for few-shot class-incremental learning},
author = {Ye Yao and Junxi Li and Xiong Chen},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109094},
url = {https://doi.org/10.1016/j.neunet.2026.109094}
}RIS
TY - JOUR TI - VPAF-FSCIL: Virtual prototype calibration and parameter-adaptive freezing for few-shot class-incremental learning AU - Ye Yao AU - Junxi Li AU - Xiong Chen PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2026.109094 UR - https://doi.org/10.1016/j.neunet.2026.109094 ER -
APA
Yao, Y., Li, J., & Chen, X. (2026). VPAF-FSCIL: Virtual prototype calibration and parameter-adaptive freezing for few-shot class-incremental learning. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109094
Source records
- crossref · retrieved 2026-09-26T11:16:30.073Z