Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …
site surveys or assessments through photographs. The former is expensive, hindering large …
RescueNet: A high resolution UAV semantic segmentation benchmark dataset for natural disaster damage assessment
Recent advancements in computer vision and deep learning techniques have facilitated
notable progress in scene understanding, thereby assisting rescue teams in achieving …
notable progress in scene understanding, thereby assisting rescue teams in achieving …
An efficient modern baseline for floodnet vqa
Designing efficient and reliable VQA systems remains a challenging problem, more so in the
case of disaster management and response systems. In this work, we revisit fundamental …
case of disaster management and response systems. In this work, we revisit fundamental …
Lightweight Multiscale Attention-Aware Method for Semantic Segmentation of Urban Structural Buildings in Drone Aerial Imagery
Every year, the lives of millions of people all over the world are affected by natural disasters
such as floods, earthquakes and hurricanes. Urban and under-development communities …
such as floods, earthquakes and hurricanes. Urban and under-development communities …