Cracks are a major sign of aging transportation infrastructure. The detection and repair of
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …

Along with the advancement in sensing and communication technologies, the explosion in
the measurement data collected by structural health monitoring (SHM) systems installed in …

The precise segmentation of medical images is one of the key challenges in pathology
research and clinical practice. However, many medical image segmentation tasks have …

The performance of crack segmentation is influenced by complex scenes, including
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …

The strip steel has been widely used in the manufacturing industry. Defects on the surface
are main factors to determine the quality of strip steel. Due to the various shapes of the …

Accurate fastener positioning and state detection form the prerequisite for ensuring the safe
operation of rail track. The demands for intelligent, fast and accurate detection cannot be …

Traditional manual crack detection has been gradually replaced by unmanned aerial
vehicles (UAVs) since automation and intelligence became the inevitable trends in routine …

Cracks are a serious disease that threatens the safety of a hydraulic dam. However,
detecting dam cracks in time is still a challenging task. It was found that the existing methods …

Robot target recognition is a critical and fundamental machine vision task. In this paper,
InVision, a robot target recognition approach is proposed using deep federated learning …

Fast and accurate crack segmentation plays an important role in the predictive maintenance
of constructed facilities and civil infrastructures. However, it is worth noting that current deep …