Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization
- DOI
- 10.1109/tcyb.2020.2984670
- Published
- 2022-03
- Container
- IEEE Transactions on Cybernetics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2020.2984670,
title = {Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization},
author = {Hancheng Zhu and Leida Li and Jinjian Wu and Sicheng Zhao and Guiguang Ding and Guangming Shi},
year = {2022},
journal = {IEEE Transactions on Cybernetics},
doi = {10.1109/tcyb.2020.2984670},
url = {https://doi.org/10.1109/tcyb.2020.2984670}
}RIS
TY - JOUR TI - Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization AU - Hancheng Zhu AU - Leida Li AU - Jinjian Wu AU - Sicheng Zhao AU - Guiguang Ding AU - Guangming Shi PY - 2022 JO - IEEE Transactions on Cybernetics DO - 10.1109/tcyb.2020.2984670 UR - https://doi.org/10.1109/tcyb.2020.2984670 ER -
APA
Zhu, H., Li, L., Wu, J., Zhao, S., Ding, G., & Shi, G. (2022). Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2020.2984670
Source records
- crossref · retrieved 2026-09-27T12:02:25.317Z