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High-resolution land cover change from low-resolution labels: Simple
  baselines for the 2021 IEEE GRSS Data Fusion Contest

High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest

4 January 2021
Nikolay Malkin
Caleb Robinson
Nebojsa Jojic
ArXiv (abs)PDFHTMLGithub (41★)

Papers citing "High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest"

3 / 3 papers shown
Title
Mining self-similarity: Label super-resolution with epitomic
  representations
Mining self-similarity: Label super-resolution with epitomic representations
Nikolay Malkin
Anthony Ortiz
Caleb Robinson
Nebojsa Jojic
23
12
0
24 Apr 2020
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
1