Journal of Optoelectronics · Laser, Volume. 36, Issue 4, 382(2025)

Fusion of attention and multi-level residuals for detection of surface defects in lead frame

NING Wenle1, LI Zhiwei1、*, XIAO Xinjie2, DING Tingting1, and HUANG Runcai1
Author Affiliations
  • 1School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2College of Information Science and Technology, Donghua University, Shanghai 201620, China
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    References(16)

    [3] [3] ZHANG X,YAN C.E-MobileNeXt:face expression recognition model based on improved MobileNeXt[J].Optoelectronics Letters,2024,20(2):122-128.

    [4] [4] LI X,LI P,FANG Z,et al.Research on EEG emotion recognition based on CNN+BiLSTM+ self-attention model[J].Optoelectronics Letters,2023,19(8):506-512.

    [6] [6] XIAO X,LI Z,NING W,et al.LFR-Net:Local feature residual network for single image dehazing[J].Array,2023,17:100278.

    [7] [7] SUN T,LI Z,XIAO X,et al.Cascaded detection method for surface defects of lead frame based on high-resolution detection images[J].Journal of Manufacturing Systems,2024,72:180-195.

    [8] [8] ZEN H,TURKOGLU M,ASLAN M,et al.Depth-wise squeeze and excitation block-based efficient-unet model for surface defect detection[J].The Visual Computer,2023,39(5):1745-1764.

    [9] [9] CHENG L,YI J,CHEN A,et al.Fabric defect detection based on separate convolutional UNet[J].Multimedia Tools and Applications,2023,82(2):3101-3122.

    [10] [10] ENSHAEI N,AHMAD S,NADERKHANI F.Automated detection of textured-surface defects using UNet-based semantic segmentation network[C]//2020 IEEE International Conference on Prognostics and Health Management (ICPHM),June 8-10,2020,Detroit,MI,USA.New York:IEEE,2020:1-5.

    [12] [12] RONNEBERGER O,FISCHER P,BROX T.U-net:convolutional networks for biomedical image segmentation[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015:18th International Conference,October 5-9,2015,Munich,Germany.Switzerland:Springer International Publishing,2015:234-241.

    [13] [13] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),June 27-30,2016,Las Vegas,NV,USA.New York:IEEE,2016:770-778.

    [14] [14] BISWAS K,KUMAR S,BANERJEE S,et al.Smooth maximum unit:Smooth activation function for deep networks using smoothing maximum technique[C]//2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),June 18-24,2022,New Orleans,LA,USA.New York:IEEE,2022:784-793.

    [15] [15] SHELHAMER E,LONG J,DARRELL T.Fully convolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(4):640-651.

    [17] [17] LIANG Y,LIN Y,LU Q.Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM[J].Expert Systems with Applications,2022,206:117847.

    [18] [18] JOHN D,ZHANG C.An attention-based U-Net for detecting deforestation within satellite sensor imagery[J].International Journal of Applied Earth Observation and Geoinformation,2022,107:102685.

    [19] [19] JIE H,LI S,GANG S,et al.Squeeze-and-excitation networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 18-23,2018,Salt Lake City,UT,USA.New York:IEEE,2018:7132-7141.

    [21] [21] HOWARD A,SANDLER M,CHU G,et al.Searching for mobilenetv3[C]//2019 IEEE/CVF International Conference on Computer Vision (ICCV),October 27-November 02,2019,Seoul,Korea (South).New York:IEEE,2019:1314-1324.

    [22] [22] CHEN L C,PAPANDREOU G,SCHROFF F,et al.Rethinking atrous convolution for semantic image segmentation[EB/OL].(2017-12-05)[2023-12-04].https://arxiv.org/abs/1706.05587.

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    NING Wenle, LI Zhiwei, XIAO Xinjie, DING Tingting, HUANG Runcai. Fusion of attention and multi-level residuals for detection of surface defects in lead frame[J]. Journal of Optoelectronics · Laser, 2025, 36(4): 382

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    Paper Information

    Received: Dec. 4, 2023

    Accepted: Mar. 21, 2025

    Published Online: Mar. 21, 2025

    The Author Email: LI Zhiwei (zhiwei.li@sues.edu.cn)

    DOI:10.16136/j.joel.2025.04.0621

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