H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement

no code implementations • 11 Oct 2020 • Peri Akiva, Matthew Purri, Kristin Dana, Beth Tellman, Tyler Anderson

We demonstrate that H2O-Net outperforms the state-of-the-art semantic segmentation methods on satellite imagery by 10% and 12% pixel accuracy and mIoU respectively for the task of flood segmentation.

Domain Adaptation Segmentation +1