SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN.

Li J, Zhang J, Shao Y, Liu F

DOI: 10.3390/s24123918
Published: 2024 Jun 17
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s24123918,
  title = {SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN.},
  author = {Li J and Zhang J and Shao Y and Liu F},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24123918},
  url = {https://doi.org/10.3390/s24123918}
}

RIS

TY  - JOUR
TI  - SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN.
AU  - Li J
AU  - Zhang J
AU  - Shao Y
AU  - Liu F
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24123918
UR  - https://doi.org/10.3390/s24123918
ER  -

APA

J, L., J, Z., Y, S., & F, L. (2024). SRE-YOLOv8: An Improved UAV Object Detection Model Utilizing Swin Transformer and RE-FPN.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24123918

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pubmed · retrieved 2026-09-26T20:29:36.201Z