MMFlood: A Multimodal Dataset for Flood Delineation From Satellite Imagery

1 code implementation • IEEE Access 2022 • Fabio Montello, Edoardo Arnaudo, Claudio Rossi

To provide baseline performances on the MMFlood test set, we conduct a number of experiments of the flood delineation task using state-of-art deep learning models, and we evaluate the performance gains of entropy-based sampling and multi-encoder architectures, which are respectively used to tackle two of the main challenges posed by MMFlood, namely the class unbalance and the multimodal setting.

Claim Verification Segmentation