Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology-Reference-Cited by-同舟云学术

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Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Trotter Cameron¹,Wright Nick¹,Stephen McGough A.²,Sharpe Matt³,Cheney Barbara⁴,Civil Monica Arso⁵,Tyson Moore Reny⁶,Allen Jason⁶,Berggren Per³

Affiliation:

1. Newcastle University,School of Engineering,UK

2. Newcastle University,School of Computing,UK

3. Sciences Newcastle University,School of Natural & Environmental,UK

4. University of Aberdeen,School of Biological Sciences,UK

5. University of St Andrews,School of Biology,UK

6. Chicago Zoological Society’s Sarasota Dolphin Research Program,Sarasota,FL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020942.pdf?arnumber=10020942

Reference36 articles.

1. FaceNet: A unified embedding for face recognition and clustering

2. Final Report: Abundance and distribution of common bottlenose dolphins (Tursiops truncatus) near Naples and Marco Island, Florida, USA, 2018-2019;tyson moore;The Batchelor Foundation Tech Rep,2020

3. Mask R-CNN

4. Optuna

5. FinBase Photo-Identification Database System | NOAA Fisheries;fisheries,2018

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