Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies-Reference-Cited by-同舟云学术

Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies

Published:2023-01 Issue: Volume:41 Page:e02350
ISSN:2351-9894
Container-title:Global Ecology and Conservation
language:en
Short-container-title:Global Ecology and Conservation

Author:

Bohnett Eve,Poya Faryabi Sorosh,Lewison Rebecca,An Li,Bian Xiaoxing,Rajabi Ali Madad,Jahed Nasratullah,Rooyesh Hashim,Mills Erica,Ramos Saber,Mesnildrey Nathan,Santoro Perez Carolina M.,Taylor Janet,Terentyev Vladimir,Ostrowski Stephane

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference47 articles.

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4. Performance of visual vs. software-assisted photo-identification in mark-recapture studies: a case study examining different life stages of the Pacific Horned Frog (Ceratophrys stolzmanni);Bardier;Amphib. -Reptil.,2020

5. Beery, S., 2016. Orientation Invariant Autonomous Recognition of Individual Snow Leopards 9.

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1. Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection;Ecological Informatics;2023-11

2. Identifying individual jaguars from camera-trap images using the HotSpotter program;Mammalia;2023-10-16

3. Integrating Species Distribution Models to Estimate the Population Size of Forest Musk Deer (Moschus berezovskii) in the Central Qinling Mountains of Shaanxi;Diversity;2023-10-09