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What is Sensors 24 06055 about?
The paper presents the YOLO-BFRV model, an enhancement of the YOLOv8 framework designed for efficient detection of printed circuit board (PCB) defects. It incorporates a bidirectional feature pyramid network (BIFPN) for improved feature extraction, a lightweight FasterNet backbone to reduce computational load, and a re-parameterized detection head to increase detection speed and accuracy. Experimental results indicate that YOLO-BFRV achieves a 4.12% increase in mean average precision (mAP) and a 45.89% boos
- Author
- khoapv
- Language
- EN