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  4. Cited By
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

Remote Sensing of Environment (RSE), 2018
29 June 2018
B. Kellenberger
Diego Marcos
D. Tuia
ArXiv (abs)PDFHTML

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

28 / 28 papers shown
Fusion or Confusion? Assessing the impact of visible-thermal image fusion for automated wildlife detection
Fusion or Confusion? Assessing the impact of visible-thermal image fusion for automated wildlife detection
Camille Dionne-Pierre
Samuel Foucher
Jérôme Théau
Jérôme Lemaître
Patrick Charbonneau
Maxime Brousseau
Mathieu Varin
91
0
0
27 Nov 2025
Artificial Intelligence for Sustainable Urban Biodiversity: A Framework for Monitoring and Conservation
Artificial Intelligence for Sustainable Urban Biodiversity: A Framework for Monitoring and Conservation
Yasmin Rahmati
190
10
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
273
9
0
15 Oct 2024
Systematic Literature Review of Vision-Based Approaches to Outdoor
  Livestock Monitoring with Lessons from Wildlife Studies
Systematic Literature Review of Vision-Based Approaches to Outdoor Livestock Monitoring with Lessons from Wildlife Studies
Stacey D. Scott
Zayn J. Abbas
Feerass Ellid
Eli-Henry Dykhne
Muhammad Muhaiminul Islam
Weam Ayad
Kristina Kacmorova
Dan Tulpan
Minglun Gong
359
3
0
07 Oct 2024
Partial Label Learning with Focal Loss for Sea Ice Classification Based
  on Ice Charts
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
Behzad Vahedi
Benjamin Lucas
F. Banaei-Kashani
A. Barrett
Walter N. Meier
S. Khalsa
Morteza Karimzadeh
270
2
0
05 Jun 2024
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Haoran Zhu
Chang Xu
Wen Yang
Ruixiang Zhang
Yan Zhang
Gui-Song Xia
NoLa
316
6
0
16 Jan 2024
An empirical study of automatic wildlife detection using drone thermal
  imaging and object detection
An empirical study of automatic wildlife detection using drone thermal imaging and object detection
Miao Chang
Tan Vuong
Manas Palaparthi
Lachlan Howell
A. Bonti
Mohamed Abdelrazek
Duc Thanh Nguyen
177
4
0
17 Oct 2023
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of
  Challenges and Advances
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and AdvancesIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Xiangrong Zhang
Tianyang Zhang
Guanchun Wang
Peng Zhu
Xu Tang
Xiuping Jia
Licheng Jiao
ObjD
398
115
0
13 Sep 2023
Teaching Computer Vision for Ecology
Teaching Computer Vision for Ecology
Elijah Cole
Suzanne Stathatos
Bjorn Lutjens
Tarun Sharma
Justin Kay
Jason Parham
B. Kellenberger
Sara Beery
245
4
0
05 Jan 2023
Cattle Detection Occlusion Problem
Cattle Detection Occlusion Problem
A. Mendu
Bhavya Sehgal
Vaishnavi Mendu
175
2
0
21 Dec 2022
Rare Wildlife Recognition with Self-Supervised Representation Learning
Rare Wildlife Recognition with Self-Supervised Representation Learning
Xiaochen Zheng
SSL
218
2
0
29 Oct 2022
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV
  Applications
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications
Wei Zhou
Xuanlin Min
Ruizhe Hu
Yiwen Long
Huan Luo
Junyi
259
7
0
07 Sep 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object
  Tracking and Counting
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingEuropean Conference on Computer Vision (ECCV), 2022
Justin Kay
Peter Kulits
Suzanne Stathatos
Siqi Deng
Erik Young
Sara Beery
Grant Van Horn
Pietro Perona
209
39
0
19 Jul 2022
Deep Learning and Earth Observation to Support the Sustainable
  Development Goals
Deep Learning and Earth Observation to Support the Sustainable Development Goals
Claudio Persello
Jan Dirk Wegner
Ronny Hansch
D. Tuia
Pedram Ghamisi
M. Koeva
Gustau Camps-Valls
320
5
0
21 Dec 2021
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data
  for Aerial Animal Surveillance
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
Mowen Xue
Theo Greenslade
Majid Mirmehdi
T. Burghardt
241
8
0
12 Nov 2021
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservationNature Communications (Nat Commun), 2021
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
319
587
0
25 Oct 2021
Automated Aerial Animal Detection When Spatial Resolution Conditions Are
  Varied
Automated Aerial Animal Detection When Spatial Resolution Conditions Are Varied
Jasper Brown
Yongliang Qiao
Cameron Clark
S. Lomax
Khalid Rafique
Salah Sukkarieh
181
33
0
04 Oct 2021
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for
  Object Detection on Drone-captured Scenarios
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu
Shuchang Lyu
Xu Wang
Qi Zhao
229
1,627
0
26 Aug 2021
Federated Learning for UAV Swarms Under Class Imbalance and Power
  Consumption Constraints
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption ConstraintsGlobal Communications Conference (GLOBECOM), 2021
Ilyes Mrad
L. Samara
A. Abdellatif
A. Al-Abbasi
R. Hamila
A. Erbad
295
20
0
23 Aug 2021
Self-Supervised Pretraining and Controlled Augmentation Improve Rare
  Wildlife Recognition in UAV Images
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
Xiaochen Zheng
B. Kellenberger
R. Gong
I. Hajnsek
D. Tuia
151
17
0
17 Aug 2021
A Review on Deep Learning in UAV Remote Sensing
A Review on Deep Learning in UAV Remote SensingInternational Journal of Applied Earth Observation and Geoinformation (JAEOG), 2021
L. Osco
J. M. Junior
A. P. Ramos
L. Jorge
S. Fatholahi
J. Silva
E. Matsubara
H. Pistori
W. Gonçalves
Jonathan Li
AI4Cl
514
443
0
22 Jan 2021
Comparing Workflow Application Designs for High Resolution Satellite
  Image Analysis
Comparing Workflow Application Designs for High Resolution Satellite Image AnalysisFuture generations computer systems (FGCS), 2020
Aymen Al-Saadi
Ioannis Paraskevakos
B. Gonçalves
H. Lynch
S. Jha
Matteo Turilli
126
3
0
27 Oct 2020
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
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoringEcological Informatics (Ecol. Inform.), 2020
S. Shahinfar
P. Meek
G. Falzon
222
182
0
16 Oct 2020
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in
  Aerial Videos
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial VideosIEEE Geoscience and Remote Sensing Magazine (IEEE GRSM), 2020
Lichao Mou
Yuansheng Hua
P. Jin
Xiaoxiang Zhu
AI4TS
441
54
0
30 Jan 2020
Animal Detection in Man-made Environments
Animal Detection in Man-made EnvironmentsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Abhineet Singh
M. Pietrasik
Gabriell Natha
Nehla Ghouaiel
Ken Brizel
Nilanjan Ray
312
36
0
24 Oct 2019
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV
  Imagery using Deep CNNs and Active Learning
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active LearningIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
B. Kellenberger
Diego Marcos
Sylvain Lobry
D. Tuia
170
117
0
17 Jul 2019
Workflow Design Analysis for High Resolution Satellite Image Analysis
Workflow Design Analysis for High Resolution Satellite Image AnalysiseScience (eScience), 2019
Ioannis Paraskevakos
Matteo Turilli
B. Gonçalves
H. Lynch
S. Jha
361
4
0
23 May 2019
An Entropic Optimal Transport Loss for Learning Deep Neural Networks
  under Label Noise in Remote Sensing Images
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
307
44
0
02 Oct 2018
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