Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations
By Andrew Gilman, Krista Hupman, Karen A. Stockin, Matthew D. M. Pawley. 2016
15 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Ecology, Small Animals
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Per Berggren
- Georgia Atkinson
- Cameron Trotter
- Krista Hupman
- Kirsten Richardson
- Nick Wright
- Stephen Mcgough
- Matthew D. M. Pawley
In Ecology
- Per Berggren
- Georgia Atkinson
- Cameron Trotter
- Kirsten Richardson
- Nick Wright
- Stephen Mcgough
- Matt Sharpe
- Ben Burville
Citations in the corpus
- NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation (2020, methodology): “As such it is believed that an automated photo-id process is achievable using computer vision (19), with work already beginning in this area (3, 5, 6, 18).”
- Individual Common Dolphin Identification Via Metric Embedding Learning (2018, methodology): “Unlike methods that use manually engineered features [18], our approach is completely data-driven; the model learns dis-”