Tag: YOLOv12

Researchers developed SFMDet, an augmented YOLOv12-based framework combining state-space scanning and cross-attention to improve object detection across cluttered construction environments.

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...

A hybrid AI framework combining YOLO-E, YOLOv12 and slicing-aided hyper inference detects and classifies drone-captured safety helmets with 97% mean ...

Chinese researchers have developed LMMR-YOLO, a lightweight deep learning model that automatically detects macular holes in OCT scans and measures ...