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机译:机器学习在相机陷阱中对动物物种进行分类图像:生态应用
USDA Ctr Epidemiol &
Anim Hlth Ft Collins CO 80526 USA;
Univ Wyoming Dept Comp Sci Laramie WY 82071 USA;
USDA Ctr Epidemiol &
Anim Hlth Ft Collins CO 80526 USA;
USDA Ctr Epidemiol &
Anim Hlth Ft Collins CO 80526 USA;
USDA Natl Wildlife Res Ctr Ft Collins CO USA;
USDA Natl Wildlife Res Ctr Ft Collins CO USA;
USDA Natl Wildlife Res Ctr Ft Collins CO USA;
USDA Ctr Epidemiol &
Anim Hlth Ft Collins CO 80526 USA;
Arizona State Univ Coll Integrat Sci &
Arts Mesa AZ USA;
Tejon Ranch Conservancy Lebec CA USA;
Tejon Ranch Conservancy Lebec CA USA;
Univ Georgia Savannah River Ecol Lab Warnell Sch Forestry &
Nat Resources Aiken SC USA;
Univ Georgia Savannah River Ecol Lab Warnell Sch Forestry &
Nat Resources Aiken SC USA;
Univ Florida Wildlife Ecol &
Conservat Range Cattle Res &
Educ Ctr Ona FL USA;
Univ Florida Wildlife Ecol &
Conservat Range Cattle Res &
Educ Ctr Ona FL USA;
Colorado Pk &
Wildlife Ft Collins CO USA;
Colorado Pk &
Wildlife Ft Collins CO USA;
Colorado Pk &
Wildlife Ft Collins CO USA;
Univ Saskatchewan Dept Anim &
Poultry Sci Saskatoon SK Canada;
Univ Montana WA Franke Coll Forestry &
Conservat Dept Ecosyst &
Conservat Sci Wildlife Biol Program Missoula MT 59812 USA;
Univ Montana WA Franke Coll Forestry &
Conservat Dept Ecosyst &
Conservat Sci Wildlife Biol Program Missoula MT 59812 USA;
Univ Wyoming Dept Zool &
Physiol Laramie WY 82071 USA;
Univ Wyoming Dept Comp Sci Laramie WY 82071 USA;
USDA Ctr Epidemiol &
Anim Hlth Ft Collins CO 80526 USA;
artificial intelligence; camera trap; convolutional neural network; deep neural networks; image classification; machine learning; r package; remote sensing;
机译:机器学习在相机陷阱中对动物物种进行分类图像:生态应用
机译:提高机器学习算法的可访问性和可转移性,以便识别相机陷阱图像的识别图像:MLWIC2
机译:使用深度学习和公民科学识别相机陷阱图像中的动物物种
机译:使用联合背景建模和深度学习分类,从高度杂乱的相机 - 陷阱图像中快速的人动物检测
机译:一种从智能手机图像对蚊虫物种进行分类的机器学习框架
机译:提高机器学习算法的可访问性和可转移性以便识别相机陷阱图像的识别图像:MLWIC2
机译:提高机器学习算法的可访问性和可转移性,以便识别相机陷阱图像的识别图像:MLWIC2