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

29 June 2018

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

9 / 9 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 Giacomo May Emanuele Dalsasso B. Kellenberger D. Tuia 19 1 0 15 Oct 2024
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances Xiangrong Zhang Tianyang Zhang Guanchun Wang Peng Zhu Xu Tang Xiuping Jia Licheng Jiao ObjD 38 46 0 13 Sep 2023
Cattle Detection Occlusion Problem A. Mendu Bhavya Sehgal Vaishnavi Mendu 11 2 0 21 Dec 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 24 26 0 19 Jul 2022
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 28 392 0 25 Oct 2021
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring S. Shahinfar P. Meek G. Falzon 14 150 0 16 Oct 2020
Workflow Design Analysis for High Resolution Satellite Image Analysis Ioannis Paraskevakos Matteo Turilli B. Gonçalves H. Lynch S. Jha 18 4 0 23 May 2019
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 21 39 0 02 Oct 2018