SEPAL-Fuse: Semantic-preserving alignment for infrared-visible image fusion.

Li X, Liang S, Zhang J, Zhao R

DOI: 10.1016/j.neunet.2026.109705
Published: 2027 Feb
Container: Neural networks : the official journal of the International Neural Network Society
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109705,
  title = {SEPAL-Fuse: Semantic-preserving alignment for infrared-visible image fusion.},
  author = {Li X and Liang S and Zhang J and Zhao R},
  year = {2027},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2026.109705},
  url = {https://doi.org/10.1016/j.neunet.2026.109705}
}

RIS

TY  - JOUR
TI  - SEPAL-Fuse: Semantic-preserving alignment for infrared-visible image fusion.
AU  - Li X
AU  - Liang S
AU  - Zhang J
AU  - Zhao R
PY  - 2027
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2026.109705
UR  - https://doi.org/10.1016/j.neunet.2026.109705
ER  -

APA

X, L., S, L., J, Z., & R, Z. (2027). SEPAL-Fuse: Semantic-preserving alignment for infrared-visible image fusion.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109705

Source records

pubmed · retrieved 2026-11-10T13:13:15.525Z