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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

17 August 2021
Xiaochen Zheng
B. Kellenberger
R. Gong
I. Hajnsek
D. Tuia
ArXivPDFHTML

Papers citing "Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images"

4 / 4 papers shown
Title
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
21
56
0
15 Nov 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
28
1
0
21 Oct 2022
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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
B. Kellenberger
Diego Marcos
D. Tuia
24
261
0
29 Jun 2018
1