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 | 25 | 2020 |
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 | 10 | 2023 |
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 | 5 | 2021 |
Human body shape classification based on a single image C Trotter, F Peleja, D Dotti, A de Santos arXiv preprint arXiv:2305.18480, 2023 | 4 | 2023 |
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 | 4 | 2022 |
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 | 3 | 2019 |
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 |