Aero-LiteNet: robust aerial small object detection via multi-scale fusion and neighborhood-aware optimization
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Researchers have developed various methods for detecting small objects in aerial images, including a system called Aero-LiteNet. Other approaches, such as BGC-LiteNet, R-AFPN, and Urban traffic tiny object detection, have also been proposed for real-time detection and localization tasks using UAVs. The specific applications and technologies being explored appear to be diverse, ranging from fire detection to indoor mapping and meteorological station monitoring.
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