A fine-grained defect-sensitive local–global multiscale vision transformer framework for urban visual pollution prediction
- DOI
- 10.1038/s41598-026-63974-2
- Published
- 2026-07-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-63974-2,
title = {A fine-grained defect-sensitive local–global multiscale vision transformer framework for urban visual pollution prediction},
author = {Peng Xu and Jingyi Shen and Taotao Zou and Fa Shen and Yalun Lei and Digong Liu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-63974-2},
url = {https://doi.org/10.1038/s41598-026-63974-2}
}RIS
TY - JOUR TI - A fine-grained defect-sensitive local–global multiscale vision transformer framework for urban visual pollution prediction AU - Peng Xu AU - Jingyi Shen AU - Taotao Zou AU - Fa Shen AU - Yalun Lei AU - Digong Liu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-63974-2 UR - https://doi.org/10.1038/s41598-026-63974-2 ER -
APA
Xu, P., Shen, J., Zou, T., Shen, F., Lei, Y., & Liu, D. (2026). A fine-grained defect-sensitive local–global multiscale vision transformer framework for urban visual pollution prediction. Scientific Reports. https://doi.org/10.1038/s41598-026-63974-2
Source records
- crossref · retrieved 2026-11-04T12:10:50.432Z