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The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide
  Detection from Multi-Source Satellite Imagery

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

6 September 2022
O. Ghorbanzadeh
Yonghao Xu
Hengwei Zhao
Junjue Wang
Yanfei Zhong
Dong Zhao
Qi Zang
Shuang Wang
Fahong Zhang
Yilei Shi
Xiao Xiang Zhu
Lin Bai
Wei-le Li
Wei Peng
Pedram Ghamisi
ArXivPDFHTML

Papers citing "The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery"

5 / 5 papers shown
Title
AI Security for Geoscience and Remote Sensing: Challenges and Future
  Trends
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
38
47
0
19 Dec 2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for
  Landslide Detection
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
O. Ghorbanzadeh
Yonghao Xu
Pedram Ghamis
Michael K Kopp
David P. Kreil
42
93
0
01 Jun 2022
SMU: smooth activation function for deep networks using smoothing
  maximum technique
SMU: smooth activation function for deep networks using smoothing maximum technique
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
28
32
0
08 Nov 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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