Laser Journal, Volume. 45, Issue 8, 203(2024)
Design of visual rebar detection system based on an improved YOLOv5
[3] [3] Ye T, Qin W, Li Y, et al. Dense and Small Object Detection in UAV-Vision Based on a Global-Local Feature Enhanced Network[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-13.
[6] [6] Liu H, Wang D, Xu K, et al. Lightweight Convolutional Neural Network for Counting Densely Piled Steel Bars[J]. Automation in Construction, 2023, 146: 104692.
[7] [7] Chen H, Du Y, Fu Y, et al. DCAM-Net: A Rapid Detection Network for Strip Steel Surface Defects Based on Deformable Convolution and Attention Mechanism[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72:1-12.
[10] [10] Li Y, Lu Y, Chen J. A Deep Learning Approach for Real-Time Rebar Counting on the Construction Site Based on YOLOv3 Detector[J]. Automation in Construction, 2021, 124: 103602.
[11] [11] Redmon J, Divvala S, Girshick R, et al. You Only Look Once Unified, Real-Time Object Detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, 779-788.
[12] [12] Hu J, Shen L, Sun G. Squeeze-and-Excitation Networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, 7132-7141.
[13] [13] Hu J, Shen L, Albanie S, et al. Squeeze-and-Excitation Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(8): 2011-2023.
[14] [14] Jeong E, Kim J, Tan S, et al. Deep Learning Inference Parallelization on Heterogeneous Processors with TensorRT[J]. IEEE Embedded Systems Letters, 2022, 14(1): 15-18.
[15] [15] Jeong E, Kim J, Ha S. TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards[J]. ACM Transactions on Embedded Computing Systems, 2022, 21(5): 1-26.
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XIE Fangli, LI Zhenghao, ZHAO Xunyi, ZHANG Zheng, ZHENG Lixi, LIN Xixiang, LI Xiangdong. Design of visual rebar detection system based on an improved YOLOv5[J]. Laser Journal, 2024, 45(8): 203
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Received: Nov. 17, 2023
Accepted: Dec. 20, 2024
Published Online: Dec. 20, 2024
The Author Email: Zhenghao LI (lizh@cigit.ac.cn)