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Detecting Mammals in UAV Images: Best Practices to address a
  substantially Imbalanced Dataset with Deep Learning

Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning

29 June 2018
B. Kellenberger
Diego Marcos
D. Tuia
ArXivPDFHTML

Papers citing "Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning"

3 / 3 papers shown
Title
Artificial Intelligence for Sustainable Urban Biodiversity: A Framework for Monitoring and Conservation
Yasmin Rahmati
38
1
0
28 Jan 2025
POLO -- Point-based, multi-class animal detection
POLO -- Point-based, multi-class animal detection
Giacomo May
Emanuele Dalsasso
B. Kellenberger
D. Tuia
13
1
0
15 Oct 2024
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservation
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
22
389
0
25 Oct 2021
1