Study diagnoses neighbourhood shortcuts in satellite building damage assessment
A new arXiv paper examines how deep learning models for building damage assessment from very-high-resolution satellite imagery rely on neighbourhood shortcuts, and proposes a building-evidence plug-in to address the problem.
Read the full story at arXiv cs.CV ↗