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The Development of Spatial Attention U-Net for The Recovery of
  Ionospheric Measurements and The Extraction of Ionospheric Parameters

The Development of Spatial Attention U-Net for The Recovery of Ionospheric Measurements and The Extraction of Ionospheric Parameters

15 September 2022
Guan-Han Huang
A. Dmitriev
Chia-Hsien Lin
Yu-Chi Chang
Mon-Chai Hsieh
Enkhtuya Tsogtbaatar
Merlin M. Mendoza
Hao-Wei Hsu
Yu-Ciang Lin
L. Tsai
Yung-Hui Li
ArXiv (abs)PDFHTML

Papers citing "The Development of Spatial Attention U-Net for The Recovery of Ionospheric Measurements and The Extraction of Ionospheric Parameters"

4 / 4 papers shown
Title
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
Changlu Guo
Marton Szemenyei
Yugen Yi
Wenle Wang
Buer Chen
Changqi Fan
SSeg
60
317
0
07 Apr 2020
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
115
914
0
30 Oct 2018
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced
  Datasets in Machine Learning
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
G. Lemaître
Fernando Nogueira
Christos K. Aridas
79
2,068
0
21 Sep 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
282
11,150
0
14 Mar 2016
1