10 citations · 15 across the 5 of their papers we have counts for
5 papers
Human Body Shape Classification Based on a Single Image
Cameron Trotter, Filipa Peleja, Dario Dotti +1
There is high demand for online fashion recommender systems that incorporate the needs of the consumer's body shape. As such, we present a methodology to classify human body shape…
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology
Cameron Trotter, Nick Wright, A. Stephen McGough +6
Photo-identification (photo-id) is one of the main non-invasive capture-recapture methods utilised by marine researchers for monitoring cetacean (dolphin, whale, and porpoise) popu…
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?
Ryan Curry, Cameron Trotter, Andrew Stephen McGough
Understanding the abundance of a species is the first step towards understanding both its long-term sustainability and the impact that we may be having upon it. Ecologists use came…
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
Cameron Trotter, Georgia Atkinson, Matt Sharpe +5
We introduce the Northumberland Dolphin Dataset 2020 (NDD20), a challenging image dataset annotated for both coarse and fine-grained instance segmentation and categorisation. This…
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation
Cameron Trotter, Georgia Atkinson, Matthew Sharpe +3
Methods for cetacean research include photo-identification (photo-id) and passive acoustic monitoring (PAM) which generate thousands of images per expedition that are currently han…