activity
20192024
most citedNDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

10 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation

Matthew Kent Myers, Nick Wright, A. Stephen McGough +1

Online temporal action segmentation shows a strong potential to facilitate many HRI tasks where extended human action sequences must be tracked and understood in real time. Traditi…

cs.SD2023

The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data

Georgia Atkinson, Nick Wright, A. Stephen McGough +1

In recent years generative adversarial networks (GANs) have been used to supplement datasets within the field of marine bioacoustics. This is driven by factors such as the cost to…

cs.CV2022

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…

cs.CV2020★ 10 cited

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…

cs.CV2019★ 2 cited

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…