DAMFusion: An end-to-end degradation-aware multi-modal image fusion framework
- DOI
- 10.1016/j.neunet.2026.109822
- Published
- 2027-02
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109822,
title = {DAMFusion: An end-to-end degradation-aware multi-modal image fusion framework},
author = {Junjie Ma and Peng Hu and Yi Li},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109822},
url = {https://doi.org/10.1016/j.neunet.2026.109822}
}RIS
TY - JOUR TI - DAMFusion: An end-to-end degradation-aware multi-modal image fusion framework AU - Junjie Ma AU - Peng Hu AU - Yi Li PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109822 UR - https://doi.org/10.1016/j.neunet.2026.109822 ER -
APA
Ma, J., Hu, P., & Li, Y. (2027). DAMFusion: An end-to-end degradation-aware multi-modal image fusion framework. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109822
Source records
- crossref · retrieved 2026-11-09T19:17:51.479Z