首页|Reports Outline Pattern Recognition and Artificial Intelligence Findings from Si chuan University (An Improved Yolov8 Network for Multi-object Detection With Lar ge-scale Differences In Remote Sensing Images)
Reports Outline Pattern Recognition and Artificial Intelligence Findings from Si chuan University (An Improved Yolov8 Network for Multi-object Detection With Lar ge-scale Differences In Remote Sensing Images)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing - Pattern Recognition and ArtificialIntelligence have been published. Accor ding to news reporting originating in Sichuan, People’s Republicof China, by Ne wsRx journalists, research stated, “Aiming to address the challenges of low obje ctdetection precision in remote sensing images due to high background complexit y and significant targetscale variations, a novel model for large-scale dispara te object detection in remote sensing images isproposed based on the modified Y OLOv8. The model incorporates a Context Aggregation Module (CAM)with an attenti on mechanism in the backbone network to exploit contextual information, enabling multiscalefeature fusion for effective small object detection.”
SichuanPeople’s Republic of ChinaAsi aPattern Recognition and Artificial IntelligenceMachine LearningRemote Sen singSichuan University
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