OBJECT DETECTION BASED ON GLOBAL-LOCAL SALIENCY CONSTRAINT IN AERIAL IMAGES

Different from object detection in natural image, optical remote sensing object detection is a challenging task, due to the diverse meteorological conditions, complex background, varied orientations, scale variations, etc.In this paper, to address this issue, we propose a novel object detection network (the global-local saliency constraint network,

Supraspinatus tendinosis was recently reported in dogs but it is a well-documented disorder in human Security Alarms and Sensors beings, specie in which is considered the cause of pain and dysfunction in 51% of cases of shoulder problems.It can cause pain and lameness or be asymptomatic in dogs.The clinical relevance in canine specie is unclear and