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

<https://repo.masters-masters.com/en/repos/sidgan/ETCI-2021-Competition-on-Flood-Detection>

[Home](https://repo.masters-masters.com/en) › [sidgan](https://repo.masters-masters.com/en/owners/sidgan) › [ETCI-2021-Competition-on-Flood-Detection](https://repo.masters-masters.com/en/repos/sidgan/ETCI-2021-Competition-on-Flood-Detection)

sidgan/ETCI-2021-Competition-on-Flood-Detection has 182 stars on GitHub. Its RepoMasters card: Prototype tier. Experiments on Flood Segmentation on Sentinel-1…

| Field | Value |
| --- | --- |
| Owner | [sidgan](https://repo.masters-masters.com/en/owners/sidgan) |
| Stars | 182 |
| Forks | 39 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | deep-learning, noisy-student, pseudo-labeling, floods, segmentation, semi-supervised-learning, pytorch, python, arxiv-papers |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sidgan/ETCI-2021-Competition-on-Flood-Detection](https://github.com/sidgan/ETCI-2021-Competition-on-Flood-Detection) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.