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NDD20: A large-scale few-shot dolphin dataset for coarse and
  fine-grained categorisation

NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

27 May 2020
Cameron Trotter
Georgia Atkinson
Matt Sharpe
Kirsten Richardson
Stephen McGough
Nick Wright
Ben Burville
Per Berggren
ArXivPDFHTML

Papers citing "NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation"

4 / 4 papers shown
Title
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
L. Adam
Vojtěch Čermák
Kostas Papafitsoros
Lukás Picek
45
2
0
13 Jun 2024
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
146
6,901
0
05 Apr 2023
Towards Automatic Cetacean Photo-Identification: A Framework for
  Fine-Grain, Few-Shot Learning in Marine Ecology
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology
Cameron Trotter
Nick Wright
A. Mcgough
Matt Sharpe
Barbara J. Cheney
Mònica Arso Civil
R. T. Moore
Jason B. Allen
Per Berggren
17
2
0
07 Dec 2022
Application of deep learning to camera trap data for ecologists in
  planning / engineering -- Can captivity imagery train a model which
  generalises to the wild?
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
A. Mcgough
31
5
0
24 Nov 2021
1