Attention-guided fusion teaches satellites to see ships in the dark
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...
A Spanish study of 126 primary school pupils found that combining structured hand hygiene education with UV visual feedback and ...
Researchers in Taiwan have combined drone-mounted cameras, the YOLOv8 detector and 5G transmission to identify cracked and detached building tiles ...
Peruvian researchers combined close-range drone imagery with two YOLOv8 deep learning models to detect Hass avocados and classify their ripeness ...
Version 2.1.1 of the open-source YOLO-MOD plugin lets QGIS users run their own trained YOLO models, edit detections interactively, and ...
Researchers at SLIET Longowal have developed a hybrid AI framework that combines YOLOv8 semantic segmentation with NeuS neural surface reconstruction ...
Researchers at UCLA and Cedars-Sinai developed a computer vision AI that classifies laparoscopic peg transfer performance with 84 percent accuracy, ...
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© 2025 Scienmag - Science Magazine