ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.08768
  4. Cited By
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via
  Filtered Jaccard Loss Function and Parametric Augmentation

Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation

23 January 2020
S. Mohajerani
Parvaneh Saeedi
ArXivPDFHTML

Papers citing "Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation"

10 / 10 papers shown
Title
Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
S. Mohajerani
Parvaneh Saeedi
33
138
0
29 Jan 2019
Cloud Detection Algorithm for Remote Sensing Images Using Fully
  Convolutional Neural Networks
Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks
S. Mohajerani
Thomas A. Krammer
Parvaneh Saeedi
44
95
0
13 Oct 2018
CPNet: A Context Preserver Convolutional Neural Network for Detecting
  Shadows in Single RGB Images
CPNet: A Context Preserver Convolutional Neural Network for Detecting Shadows in Single RGB Images
S. Mohajerani
Parvaneh Saeedi
32
17
0
13 Oct 2018
Fully Convolutional Architectures for Multi-Class Segmentation in Chest
  Radiographs
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
A. A. Novikov
Dimitrios Lenis
David Major
J. Hladůvka
M. Wimmer
Katja Bühler
SSeg
71
220
0
30 Jan 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
146
6,516
0
21 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
304
7,971
0
23 May 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
264
6,271
0
16 Dec 2013
On the Bayes-optimality of F-measure maximizers
On the Bayes-optimality of F-measure maximizers
Willem Waegeman
Krzysztof Dembczyñski
Arkadiusz Jachnik
Weiwei Cheng
Eyke Hullermeier
400
105
0
17 Oct 2013
1