CDA-YOLO improves PCB defect detection over YOLOv11
An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...
An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...
Researchers developed GDH-Det, an underwater object detection method that uses a conditional diffusion network to synthesize degraded training images and ...
Chinese researchers have enhanced a transformer-based detector to automatically identify and count tiny shrimp in sonar echograms, achieving over 84 ...
A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while ...
Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...
Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...
Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...
Researchers have unveiled a quantum-fuzzy framework that uses frequency domain analysis to outperform leading detectors at spotting small objects in ...
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© 2025 Scienmag - Science Magazine