Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo-labeling
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Juan Lavista Ferres | Jack LeBien | Ming Zhong | Rahul Dodhia | T. Mitchell Aide | Marconi Campos-Cerqueira | Julian Velev | Marconi Campos‐Cerqueira | T. Aide | J. Ferres | J. Velev | R. Dodhia | Jack LeBien | Ming Zhong
[1] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[2] Willem Bouten,et al. A flexible GPS tracking system for studying bird behaviour at multiple scales , 2012, Journal of Ornithology.
[3] Ian Goodfellow,et al. Generative adversarial networks , 2020, Commun. ACM.
[4] T. Mitchell Aide,et al. Real-time bioacoustics monitoring and automated species identification , 2013, PeerJ.
[5] Charles M. Bishop,et al. Novel GPS tracking of sea turtles as a tool for conservation management , 2007 .
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] M. Linkie,et al. Estimating overlap of daily activity patterns from camera trap data , 2009 .
[8] Dan Stowell,et al. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning , 2014, PeerJ.
[9] Eske Willerslev,et al. Environmental DNA - An emerging tool in conservation for monitoring past and present biodiversity , 2015 .
[10] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[12] Colin Raffel,et al. librosa: Audio and Music Signal Analysis in Python , 2015, SciPy.
[13] Douglas W. Yu,et al. Environmental DNA for wildlife biology and biodiversity monitoring. , 2014, Trends in ecology & evolution.
[14] J. Ahumada,et al. Community structure and diversity of tropical forest mammals: data from a global camera trap network , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.
[15] James Christie,et al. Solo: an open source, customizable and inexpensive audio recorder for bioacoustic research , 2017 .
[16] Margaret Kosmala,et al. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning , 2017, Proceedings of the National Academy of Sciences.
[17] Klaus Riede,et al. Automatic bird sound detection in long real-field recordings: Applications and tools , 2014 .
[18] Ronald M. Summers,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.
[19] Peter Jancovic,et al. Automatic Detection and Recognition of Tonal Bird Sounds in Noisy Environments , 2011, EURASIP J. Adv. Signal Process..
[20] Xiaoli Z. Fern,et al. Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach. , 2012, The Journal of the Acoustical Society of America.
[21] Hervé Glotin,et al. Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge , 2018, Methods in Ecology and Evolution.
[22] Alex Rogers,et al. AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment , 2018 .