Improved YOLOv11 with hybrid encoder boosts rotating target detection in remote sensing images
A new SR-YOLO-DETR framework combining an improved YOLOv11 backbone with an RT-DETR hybrid encoder raises rotating target detection accuracy on ...
A new SR-YOLO-DETR framework combining an improved YOLOv11 backbone with an RT-DETR hybrid encoder raises rotating target detection accuracy on ...
A YOLOv11-based detector called DFL-YOLO combines large selective kernels, density-guided frequency decoupling and a hybrid regression loss to reach 82.2% ...
YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...
A benchmark study found that FBMS-YOLO improved localization of degraded bamboo slip characters, raising DeepJiandu mAP50 from 92.8% to 94.4% ...
An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...
A Kansas State University team used a YOLOv11 neural network to track thousands of condensing droplets on laser-patterned aluminum, revealing ...
The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties ...
A deep learning pipeline from the American University of Beirut automatically detects vertebral fractures and Schmorl's nodes in routine chest ...
A year-long commercial farm study found that providing long-stemmed straw to farrowing sows cut early piglet crushing odds by 46 ...
A new RGB-D perception-to-action framework called E-YOLOv11-RGBD raised robotic greenhouse harvesting success from 51.7 to 92.5 percent by converting AI ...
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© 2025 Scienmag - Science Magazine