Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. A Whale's Tail - Finding the Right Whale in an Uncertain World
 
conference paper

A Whale's Tail - Finding the Right Whale in an Uncertain World

Marcos, Diego
•
Kierdorf, Jana
•
Cheeseman, Ted
Show more
January 1, 2022
Xxai - Beyond Explainable Ai
International Workshop on Beyond Explainable Artificial Intelligence (xxAI)

Explainable machine learning and uncertainty quantification have emerged as promising approaches to check the suitability and understand the decision process of a data-driven model, to learn new insights from data, but also to get more information about the quality of a specific observation. In particular, heatmapping techniques that indicate the sensitivity of image regions are routinely used in image analysis and interpretation. In this paper, we consider a landmark-based approach to generate heatmaps that help derive sensitivity and uncertainty information for an application in marine science to support the monitoring of whales. Single whale identification is important to monitor the migration of whales, to avoid double counting of individuals and to reach more accurate population estimates. Here, we specifically explore the use of fluke landmarks learned as attention maps for local feature extraction and without other supervision than the whale IDs. These individual fluke landmarks are then used jointly to predict the whale ID. With this model, we use several techniques to estimate the sensitivity and uncertainty as a function of the consensus level and stability of localisation among the landmarks. For our experiments, we use images of humpback whale flukes provided by the Kaggle Challenge "Humpback Whale Identification" and compare our results to those of a whale expert.

  • Files
  • Details
  • Metrics
Type
conference paper
DOI
10.1007/978-3-031-04083-2_15
Web of Science ID

WOS:001048254300014

Author(s)
Marcos, Diego
Kierdorf, Jana
Cheeseman, Ted
Tuia, Devis  
Roscher, Ribana
Date Issued

2022-01-01

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Publisher place

Cham

Published in
Xxai - Beyond Explainable Ai
ISBN of the book

978-3-031-04082-5

978-3-031-04083-2

Series title/Series vol.

Lecture Notes in Artificial Intelligence

Volume

13200

Start page

297

End page

313

Subjects

Computer Science, Artificial Intelligence

•

Computer Science, Information Systems

•

Computer Science

•

attention maps

•

sensitivity

•

uncertainty

•

whale identification

•

black-box

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECEO  
Event nameEvent placeEvent date
International Workshop on Beyond Explainable Artificial Intelligence (xxAI)

Vienna, AUSTRIA

Jul 18, 2020

Available on Infoscience
September 11, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/200578
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés