Suzuki Tsutomu

Road-oriented attention and class-balanced learning for post-disaster road damage segmentation

Accurate pixel-level segmentation of post-disaster road damage is important for decision-support applications that require reliable and spatially explicit road-scene understanding. This study proposes a deep-learning framework for localizing visible road-damage regions in post-di...