Researchers developed a compact road-object detector coupling high-resolution feature alignment and quality-aware assignment to improve small-object detection accuracy on benchmark ...
A systematic review of 44 YOLO-based railway track defect detection studies finds that none demonstrates fully operational deployment, with all ...
Researchers report an improved YOLO model that detects small PCB surface defects with 90.63% sensitivity while reducing model size and ...
A fine-tuned Segment Anything pipeline matched bespoke networks for thigh muscle segmentation on MRI, while radiologist-flagged errors barely changed volume ...
A new lightweight detector, YOLO-FWF, combines Fourier-domain enhancement, wavelet-guided attention and orientation-aware feature fusion to improve scene text detection accuracy ...
YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...
A new lightweight deep learning model called WheatNet detects and counts individual wheat seedlings in complex field images with record ...
A lightweight AI detector combining early adaptive convolution and deep multi-scale context modules significantly improves citrus disease and pest detection ...
A comparative study of oriented YOLO detectors on very high-resolution satellite imagery shows that compact YOLO11 models outperform larger rivals ...
Every year, thousands of cyclists and e-scooter riders vanish into a zone no mirror can reach—the blind spot of a ...
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