Electronics Optics & Control, Volume. 31, Issue 6, 105(2024)
Tank and Armored Vehicle Target Detection Based on Improved YOLOv4 Algorithm
[6] [6] YU H X,YUN L J,CHEN Z Q,et al.A small object detection algorithm based on modulated deformable convolution and large kernel convolution[J].Computational Intelligence and Neuroscience,2023,2023:2506274.
[7] [7] JIANG P,ERGU D,LIU F,et al.A review of YOLO algorithm developments[J].Procedia Computer Science,2022, 199:1066-1073.
[8] [8] YU L Z,ZHU J H,ZHAO Q,et al.An efficient YOLO algorithm with an attention mechanism for vision-based defect inspection deployed on FPGA[J].Micromachines, 2022,13(7):1058.
[9] [9] YU H L,CHEN W L.Motion target detection and recognition based on YOLOv4 algorithm[C]//The 3rd International Conference on Artificial Intelligence and Computer Science (AICS).Beijing:[s.n.],2021:012053.
[12] [12] MAHASIN M,DEWI I A.Comparison of CSPDarkNet53, CSPResNeXt-50,and EfficientNet-B0 backbones on YOLOv4 as object detector[J].International Journal of Engineering, Science and Information Technology,2022,2(3):64-72.
[15] [15] LIU Z,LIN Y T,CAO Y,et al.Swin Transformer:hierarchical vision Transformer using shifted windows[C]//IEEE/CVF International Conference on Computer Vision.Montreal:IEEE,2021:9992-10002.
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LI Zhilin, DU Yujun, WANG Pai. Tank and Armored Vehicle Target Detection Based on Improved YOLOv4 Algorithm[J]. Electronics Optics & Control, 2024, 31(6): 105
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Received: Jun. 15, 2023
Accepted: --
Published Online: Aug. 23, 2024
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