Aohan Deng

YOLO-RMF: A Real-Time Surface Defect Detection Model for Hot-Rolled Strip Steel with Reparameterized Convolution and Axial Attention

Hot-rolled strip steel surface defect detection is a vital industrial task that demands both high precision and real-time inference. Nevertheless, existing deep-learning-based detectors struggle to balance accuracy and speed, limiting their practical deployment on resource-constrained edge devices within harsh manufact...