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@@ -98,8 +98,18 @@ The ForestPersons Dataset is provided "as is" without any warranty of any kind,
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  The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
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  ## Acknowledgments
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- This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT):
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- Project No. 2022-0-00021, Development of Core Technologies for Autonomous Searching Drones.
 
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  The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
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+ ## Citation Information
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+ If you are using this dataset, please cite
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+ ```bibtex
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+ @misc{kim2025forestpersons,
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+ title = {ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection},
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+ author = {Deokyun Kim and Jeongjun Lee and Jungwon Choi and Jonggeon Park and Giyoung Lee and Yookyung Kim and Myungseok Ki and Juho Lee and Jihun Cha},
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+ year = {2025},
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+ note = {Manuscript in preparation}
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+ }
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+ ```
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+ Deokyun Kim and Jeongjun Lee and Jungwon Choi and Jonggeon Park contributed equally to this work.
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  ## Acknowledgments
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+ This work was supported by the Institute of Information & communications Technology Planning Evaluation (IITP) grant funded by the Korea government (MSIT) (No. RS-2022-II220021, Development of Core Technologies for Autonomous Searching Drones)