Contact:
YANG Jiantao, born in 1998, M. S. candidate. His research interests include computer vision, image processing, deep learning.
About author:LI Kewen, born in 1969, Ph. D., professor. His research interests include artificial intelligence, machine learning, data mining;HUANG Zongchao, born in 1994, Ph. D. candidate. His research interests include deep learning, big data processing, intelligent fault detection;
LI Kewen, YANG Jiantao, HUANG Zongchao. Improved YOLOv3 target detection based on boundary limit point features[J]. Journal of Computer Applications, 2023, 43(1): 81-87.
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Faster R-CNN: towards real-time object detection with region proposal networks[C]// Proceedings of the 28th International Conference on Neural Information Processing Systems. Cambridge: MIT Press, 2015: 91-99. 15 ZHENG Z H, WANG P, LIU W, et al. Distance-IoU loss: faster and better learning for bounding box regression[C]// Proceedings of the 34th AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2020: 12993-13000. 10.1609/aaai.v34i07.6999 16 LIN T Y, MAIRE M, BELONGIE S, et al. Microsoft COCO: common objects in context[C]// Proceedings of the 2014 European Conference on Computer Vision, LNCS 8693. Cham: Springer, 2014: 740-755. 17 HUANG Z C, WANG J L, FU X S, et al. DC-SPP-YOLO: dense connection and spatial pyramid pooling based YOLO for object detection[J]. Information Sciences, 2020, 522: 241-258. 10.1016/j.ins.2020.02.067 18 WU W H, LI Q. Machine vision inspection of electrical connectors based on improved Yolo v3[J]. 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