[5] [5] GIRSHICK R,DONAHUE J,DARREL T,et al.Rich feature hierarchies for accurate obje-ct detection and semantic segmentation［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 23-28,2014,Columbus,Ohio,USA.New York:IEEE,2014:580-587.

[6] [6] GIRSHICK R.Fast R-CNN［C］//IEEE International Conference on Computer Vision,December 7-13,2015,Santiago,Chile.New York:IEEE,2015:1440-1448.

[7] [7] REN S,HE K,IRSHICK R,et al.Faster R-CNN:towards real-time object detection with region proposal networks［C］//Advances in Neural Information Processing System,December 7-12,2015.Montreal,Canada.Cambridge,MA,USA:MIT Press,2015,1:91-99.

[8] [8] HU B,WANG J.Detection of PCB surface defects with improved faster-RCNN and feature pyramid network[J].IEEE Access,2020,8:108335-108345.

[9] [9] TSAI D M,CHOU Y H.Fast and precise positioning in PCBs using deep neural network regression[J].IEEE Transactions on Instrumentation and Measurement,2019,69(7):4692-4701.

[10] [10] LIU W,ANGUELOY D,ERHAN D,et al.SSD:Single shot multibox detector［C］//European Conference on Computer Vision,October 8-16,2016,Amsterdam,Netherlands.Cham:Springer,2016:21-37.

[11] [11] LI Y T,KUO P,GUO J I.Automatic industry PCB board DIP process defect detection with deep ensemble method［C］//2020 IEEE 29th International Symposium on Industrial Electronics (ISIE),June 17-19,2020,Delft,Netherlands.New York:IEEE,2020:453-459.

[15] [15] WANG C Y,LIAO H Y M,WU Y H,et al.CSPNet:A new backbone that can enhance learning capability of CNN［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,June 14-19,2020,Seattle,WA,USA.New York:IEEE,2020:390-391.

[17] [17] GAN J,TAO Y.DBSCAN revisited:Mis-claim,un-fixability,and approximation［C］//2015 ACM SIGMOD International Conference on Management of Data,May 31-June 4,2015,Melbourne Victoria,Australia.New York:ACM,2015:519-530.

[19] [19] LIU Y,SHAO Z,HOFFMANN N.Global attention mechanism:Retain information to enhance channel-spatial interactions［EB/OL］.(2021-12-10)［2022-08-27］.https://arxiv.org/abs/2112.05561.

[20] [20] HU J,SHEN L,SUN G.Squeeze-and-excitation networks［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 18-23,2018,Salt Lake City,UT,USA.New York:IEEE,2018:7132-7141.

[21] [21] WOO S,PARK J,LEE J Y,et al.CBAM:convolutional block attention module［C］//European Conference on Computer Vision,September 8-14,2018,Munich,Germany.Cham:Springer,2018:3-19.

[22] [22] ARK J,WOO S,LEE J Y,et al.Bam:Bottleneck attention module［EB/OL］.(2018-07-17) ［2022-08-27］.https://arxiv.org/abs/1807.06514.

[23] [23] TAN M,PANG R,LE Q V.Efficientdet:Scalable and efficient object detection［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 13-19,2020,Seattle,WA,USA.New York:IEEE,2020:10781-10790.

[24] [24] LIU S,QI L,QIN H,et al.Path aggregation network for instance segmentation［C］//IEEE Conference on Computer Vision and Pattern Recognition,June 18-23,2018,Salt Lake City,UT,USA.New York:IEEE,2018:8759-8768.

[25] [25] LIN T Y,DOLLAR P,GIRSHICK R,et al.Feature pyramid networks for object detection［C］//IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,HI,USA.New York:IEEE,2017:2117-2125.

[26] [26] WU Y,CHEN Y,YUAN L,et al.Rethinking classification and localization for object detection［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 13-19,2020,Seattle,WA,USA.New York:IEEE,2020:10186-10195.