Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sara Beery"'
Autor:
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Animal ecologists are increasingly limited by constraints in data processing. Here, Tuia and colleagues discuss how collaboration between ecologists and data scientists can harness machine learning to capitalize on the data generated from technologic
Externí odkaz:
https://doaj.org/article/51b664d701d748659895800d53d6ecbf
Autor:
Sara Beery
Publikováno v:
XRDS: Crossroads, The ACM Magazine for Students. 27:14-18
Technological advances have made it possible to collect massive amounts of biodiversity data. How can analysis efforts keep up?
Autor:
Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2cf9c5700d22ada3996c4654f65880
https://doi.org/10.1007/978-3-031-20074-8_17
https://doi.org/10.1007/978-3-031-20074-8_17
Publikováno v:
Van Horn, G, Cole, E, Beery, S, Wilber, K, Belongie, S & Mac Aodha, O 2021, Benchmarking Representation Learning for Natural World Image Collections . in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . Institute of Electrical and Electronics Engineers (IEEE), pp. 12884-12893, IEEE Conference on Computer Vision and Pattern Recognition 2021, 19/06/21 . https://doi.org/10.1109/CVPR46437.2021.01269
CVPR
CVPR
Recent progress in self-supervised learning has resulted in models that are capable of extracting rich representations from image collections without requiring any explicit label supervision. However, to date the vast majority of these approaches hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2037a5fead6656a53e75b023c1bca3
https://www.pure.ed.ac.uk/ws/files/218951843/Benchmarking_Representation_Learning_VAN_HORN_DOA28022021_AFV.pdf
https://www.pure.ed.ac.uk/ws/files/218951843/Benchmarking_Representation_Learning_VAN_HORN_DOA28022021_AFV.pdf
Publikováno v:
COMPASS
African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a difficult t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::045213cc40089223c9047cde63d7a7ca
https://resolver.caltech.edu/CaltechAUTHORS:20211117-175445588
https://resolver.caltech.edu/CaltechAUTHORS:20211117-175445588
Publikováno v:
COMPASS
Conservation science depends on an accurate understanding of what's happening in a given ecosystem. How many species live there? What is the makeup of the population? How is that changing over time? Species Distribution Modeling (SDM) seeks to predic
Publikováno v:
CVPR
In static monitoring cameras, useful contextual information can stretch far beyond the few seconds typical video understanding models might see: subjects may exhibit similar behavior over multiple days, and background objects remain static. Due to po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e70cdb4f27fd2ff150f12c8e4d813e2
http://arxiv.org/abs/1912.03538
http://arxiv.org/abs/1912.03538
Biodiversity conservation depends on accurate, up-to-date information about wildlife population distributions. Motion-activated cameras, also known as camera traps, are a critical tool for population surveys, as they are cheap and non-intrusive. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f7e721b31a6871d2a05722e2d5d8a28
http://arxiv.org/abs/1910.09716
http://arxiv.org/abs/1910.09716