sidgan / ETCI-2021-Competition-on-Flood-Detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

Date Created 2021-07-14 (3 years ago)

Commits 43 (last one 2 years ago)

Stargazers 162 (0 this week)

Watchers 5 (0 this week)

Forks 34

License apache-2.0

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RepositoryStats indexes 595,856 repositories, of these sidgan/ETCI-2021-Competition-on-Flood-Detection is ranked #210,434 (65th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,974/17,543.

sidgan/ETCI-2021-Competition-on-Flood-Detection is also tagged with popular topics, for these it's ranked: python (#9,756/22324), deep-learning (#3,995/8512), pytorch (#2,803/6025), segmentation (#278/640), semi-supervised-learning (#58/174)

Other Information

sidgan/ETCI-2021-Competition-on-Flood-Detection has Github issues enabled, there is 1 open issue and 2 closed issues.

There have been 1 release, the latest one was published on 2021-07-15 (3 years ago) with the name Pre-trained weights.

Homepage URL: https://arxiv.org/abs/2107.08369

All Topics

floods python pytorch arxiv-papers segmentation deep-learning noisy-student pseudo-labeling semi-supervised-learning

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updated: 2024-12-03 @ 11:30pm, id: 386096432 / R_kgDOFwNdMA