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Cameron Trotter
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NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
C Trotter, G Atkinson, M Sharpe, K Richardson, AS McGough, N Wright, ...
arXiv preprint arXiv:2005.13359, 2020
252020
A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species
PT Patton, T Cheeseman, K Abe, T Yamaguchi, W Reade, K Southerland, ...
Methods in ecology and evolution 14 (10), 2611-2625, 2023
102023
Application of deep learning to camera trap data for ecologists in planning/engineering–Can captivity imagery train a model which generalises to the wild?
R Curry, C Trotter, AS McGough
2021 IEEE International Conference on Big Data (Big Data), 4011-4020, 2021
52021
Human body shape classification based on a single image
C Trotter, F Peleja, D Dotti, A de Santos
arXiv preprint arXiv:2305.18480, 2023
42023
Towards automatic cetacean photo-identification: A framework for fine-grain, few-shot learning in marine ecology
C Trotter, N Wright, AS McGough, M Sharpe, B Cheney, MA Civil, ...
2022 IEEE International Conference on Big Data (Big Data), 1942-1949, 2022
42022
The northumberland dolphin dataset: A multimedia individual cetacean dataset for fine-grained categorisation
C Trotter, G Atkinson, M Sharpe, AS McGough, N Wright, P Berggren
arXiv preprint arXiv:1908.02669, 2019
32019
Data Study Group Final Report: UK Centre for Ecology & Hydrology (UKCEH)-Advancing Insect Biodiversity Monitoring through Automated Sensors, Deep Learning, and Citizen Science Data
S Burniston, M Faith, V Kriukov, RJ Laidlaw, MP Kalashami, F Rahman, ...
2024
Data study group final report: UK Centre for Ecology & Hydrology (UKCEH)
S Burniston, M Faith, V Kriukov, RJ Laidlaw, MP Kalashami, F Rahman, ...
The Alan Turing Institute, 2023
2023
Towards Automatic Photo-Identification of Cetaceans: A Fine-Grained, Few-Shot Problem in Marine Ecology
C Trotter
Newcastle University, 2023
2023
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