Individual Minke Whale Recognition Using Deep Learning Convolutional Neural Networks

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Journal of Geoscience and Environment Protection

ISSN Print: 2327-4336
ISSN Online: 2327-4344
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"Individual Minke Whale Recognition Using Deep Learning Convolutional Neural Networks"
written by Dmitry A. Konovalov, Suzanne Hillcoat, Genevieve Williams, R. Alastair Birtles, Naomi Gardiner, Matthew I. Curnock,
published by Journal of Geoscience and Environment Protection, Vol.6 No.5, 2018

has been cited by the following article(s):

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[14]	Monitoring whales within the Reef 2050 Integrated Monitoring and Reporting Program: final report of the whales team in the megafauna expert group
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[15]	Common and Antarctic Minke Whales: Conservation Status and Future Research Directions
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[1]	Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm Integrative Zoology, 2023 DOI:10.1111/1749-4877.12667

[2]	Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm Integrative Zoology, 2023 DOI:10.1111/1749-4877.12667

[3]	Recognition of big mammal species in airborne thermal imaging based on YOLO V5 algorithm Integrative Zoology, 2022 DOI:10.1111/1749-4877.12667

[4]	Automating the analysis of fish grazing behaviour from videos using image classification and optical flow Animal Behaviour, 2021 DOI:10.1016/j.anbehav.2021.04.018

[5]	A Two-Stream Network for Underwater Acoustic Target Classification 2020 6th International Conference on Robotics and Artificial Intelligence, 2020 DOI:10.1145/3449301.3449343

[6]	Minke Whale Detection in Underwater Imagery using Classification CNNs Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020 DOI:10.1109/IEEECONF38699.2020.9389164

[7]	Automatic Sorting of Dwarf Minke Whale Underwater Images Information, 2020 DOI:10.3390/info11040200

[8]	A Two-Stream Network for Underwater Acoustic Target Classification 2020 6th International Conference on Robotics and Artificial Intelligence, 2020 DOI:10.1145/3449301.3449343

[9]	Common and Antarctic Minke Whales: Conservation Status and Future Research Directions Frontiers in Marine Science, 2019 DOI:10.3389/fmars.2019.00247

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