MRR-YOLO: an instance segmentation technique for ground-based cloud images.

Wan Z, Su J, Fan B, Liu Y, Geng X, Wu Y, Wang L

DOI: 10.1038/s41598-026-46567-x
Published: 2026 Apr 7
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-46567-x,
  title = {MRR-YOLO: an instance segmentation technique for ground-based cloud images.},
  author = {Wan Z and Su J and Fan B and Liu Y and Geng X and Wu Y and Wang L},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-46567-x},
  url = {https://doi.org/10.1038/s41598-026-46567-x}
}

RIS

TY  - JOUR
TI  - MRR-YOLO: an instance segmentation technique for ground-based cloud images.
AU  - Wan Z
AU  - Su J
AU  - Fan B
AU  - Liu Y
AU  - Geng X
AU  - Wu Y
AU  - Wang L
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-46567-x
UR  - https://doi.org/10.1038/s41598-026-46567-x
ER  -

APA

Z, W., J, S., B, F., Y, L., X, G., Y, W., & L, W. (2026). MRR-YOLO: an instance segmentation technique for ground-based cloud images.. Scientific reports. https://doi.org/10.1038/s41598-026-46567-x

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pubmed · retrieved 2026-09-26T18:52:24.217Z