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paper list update
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README.md

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* video-processor (MD workflow for security camera footage) ([github.com/evz/video-processor](https://github.com/evz/video-processor))
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* Declas (client-side tool for running MD and classifiers) ([github.com/stangandaho/declas](https://github.com/stangandaho/declas))
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* AI for Wildlife Monitoring (real-time alerts using 4G camera traps) ([github.com/ratsakatika/camera-traps])(https://github.com/ratsakatika/camera-traps/)
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* Identifying snow depth in camera trap images ([github.com/catherine-m-breen/snowpoles](https://github.com/catherine-m-breen/snowpoles))
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### Last updated < 2021
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* Darras KF, Balle M, Xu W, Yan Y, Zakka VG, Toledo-Hernández M, Sheng D, Lin W, Zhang B, Lan Z, Fupeng L. Eyes on nature: Embedded vision cameras for multidisciplinary biodiversity monitoring. BioRxiv. 2023 Jul 29:2023-07.
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* Breen CM, Currier WR, Vuyovich C, Miao Z, Prugh LR. Snow depth extraction from time‐lapse imagery using a keypoint deep learning model. Water Resources Research. 2024 Jul;60(7):e2023WR036682.
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* Gadot T, Istrate Ș, Kim H, Morris D, Beery S, Birch T, Ahumada J. To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images. IET Computer Vision, Nov 2024.
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#### Papers from 2023
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* Chen H, Lindshield S, Ndiaye PI, Ndiaye YH, Pruetz JD, Reibman AR. Applying Few-Shot Learning for In-the-Wild Camera-Trap Species Classification. AI. 2023 Jul 31;4(3):574-97.

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