ENFIELD Hackathon 2025: AI for Energy Efficiency (ENFIELD educational material)

Foreground-Aware Knowledge Distillation for Enhanced Damage Detection

Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications. Conventional industrial inspection methods are hindered by high costs and operational disruptions, motivating the development of innovative and efficient solutions. This paper introduces a novel, architecture-agnostic deep neural network (DNN) knowledge distillation… Continue reading Foreground-Aware Knowledge Distillation for Enhanced Damage Detection