2024
DOI: 10.1109/access.2024.3349978
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Lightweight Detection Model RM-LFPN-YOLO for Rebar Counting

Haodong Liu,
Wansheng Cheng,
Chunwei Li
et al.

Abstract: In this study, we propose a novel lightweight detection model for rebar counting, which is rectified mobilenet lightweight feature pyramid network based on YOLO (RM-LFPN-YOLO). The model incorporates a lightweight backbone network that integrates the coordinate attention (CA) mechanism, a lightweight feature pyramid network (LFPN), and a loss function that combines focal loss and efficient intersection over union (EIOU) loss, all meticulously designed to enhance the model's performance. Experimental results de… Show more

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