Computer Science ›› 2024, Vol. 51 ›› Issue (3): 135-140.doi: 10.11896/jsjkx.230600109
• Database & Big Data & Data Science • Previous Articles Next Articles
HAO Ran, WANG Hongjun, LI Tianrui
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[1]ZHAO Z,QI H,QI Y,et al.Detection method based on auto-matic visual shape clustering for pin-missing defect in transmission lines[J].IEEE Transactions on Instrumentation and Mea-surement,2020,69(9):6080-6091. [2]ZHANG X,ZHANG Y,LIU J,et al.InsuDet:A fault detection method for insulators of overhead transmission lines using con-volutional neural networks[J].IEEE Transactions on Instrumentation and Measurement,2021,70:1-12. [3]LV F C,NIU L L,WANG S H,et al.Intelligent detection and parameter adjustment strategy of major electrical equipment based on optimized YOLOv4[J].Transactions of China Electrotechnical Society,2021,36(22):4837-4848. [4]LIU M,LI Z,LI Y,et al.A fast and accurate method of power line intelligent inspection based on edge computing[J].IEEE Transactions on Instrumentation and Measurement,2022,71:1-12. [5]LIU W,ANGUELOV D,ERHAN D,et al.Ssd:Single Shot Multibox Detector[C]//Computer Vision--ECCV 2016:14th European Conference.Springer International Publishing,2016:21-37. [6]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. [7]BOCHKOVSKIY A,WANG C Y,LIAO H Y M.Yolov4:Optimal speed and accuracy of object detection[J].arXiv:2004.10934,2020. [8]REN S,HE K,GIRSHICK R,et al.Faster r-cnn:Towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(6):1137-1149. [9]HE K,GKIOXARI G,DOLLÁR P,et al.Mask r-cnn[C]//Proceedings of the IEEE International Conference on Computer Vision.2017:2961-2969. [10]GLENN J.YOLOv5 release v6.1.[OL]https://github.com/ultralytics/yolov5/releases/tag/v6.1,2022.2,7,10. [11]WANG C Y,BOCHKOVSKIY A,LIAO H Y M.YOLOv7:Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[J].arXiv:2207.02696,2022. [12]NIU Z,ZHONG G,YU H.A review on the attention mechanism of deep learning[J].Neurocomputing,2021,452:48-62. [13]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. [14]WOO S,PARK J,LEE J Y,et al.Cbam:Convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision(ECCV).2018:3-19. [15]WANG Q,WU B,ZHU P,et al.ECA-Net:Efficient channel attention for deep convolutional neural networks[C]//Procee-dings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2020:11534-11542. [16]LIN T Y,DOLLÁR P,GIRSHICK R,et al.Feature pyramidnetworks for object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2017:2117-2125. [17]LIU S,QI L,QIN H,et al.Path aggregation network for instance segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2018:8759-8768. [18]ZHAO Q,SHENG T,WANG Y,et al.M2det:A single-shot object detector based on multi-level feature pyramid network[C]//Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.2019:9259-9266. [19]LU X,LI B Y,YUE Y X,et al.Grid R-CNN plus:faster and better [J].arXiv:1906.05688,2019. [20]CAI Z,VASCONCELOS N.Cascade r-cnn:Delving into highquality object detection[C]//Proceedings of the IEEE Confe-rence on Computer Vision and Pattern Recognition.2018:6154-6162. [21]CHEN Z,YANG C,LI Q,et al.Disentangle your dense object detector[C]//Proceedings of the 29th ACM International Conference on Multimedia.2021:4939-4948. |
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