Electronics Optics & Control, Volume. 31, Issue 10, 83(2024)
A Lightweight Small Object Detection Method Combining Non-strided Convolution and Contextual Information
[1] [1] LIN T YMAIRE MBELONGIE Set al.Microsoft COCO:common objects in context[C]//European Conference on Computer Vision.Cham:Springer2014:740755.
[3] [3] HE K MGKIOXARI GDOLLR Pet al.Mask RCNN[C]//International Conference on Computer Vision.Venice:IEEE2017:29802988.
[4] [4] GIRSHICK R.Fast RCNN[C]//International Conference on Computer Vision.Santiago:IEEE2015:14401448.
[5] [5] REDMON JDIVVALA SGIRSHICK Ret al.You only look once:unifiedrealtime object detection[C]//Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE2016:779788.
[6] [6] LIU WANGUELOV DERHAN Det al.SSD:single shot MultiBox detector[C]//European Conference on Computer Vision.Amsterdam:Springer2016:2137.
[10] [10] KISANTAL MWOJNA ZMURAWSKI Jet al.Augmentation for small object detection[EB/OL].(20190219)[20231120].https://arxiv.org/abs/1902.07296.
[11] [11] ZHU X KLYU S CWANG Xet al.TPHYOLOv5:improved YOLOv5 based on Transformer prediction head for object detection on dronecaptured scenarios[C]// IEEE/CVF International Conference on Computer Vision Workshops.Montreal:IEEE2021:27782788.
[12] [12] VASWANI ASHAZEER NPARMAR Net al.Attention is all you need[J].The 31st International Conference on Neural Information Processing Systems.Long Beach:ACM2017:60006010.
[13] [13] WOO SPARK JLEE J Yet al.CBAM:convolutional block attention module[C]//European Conference on Computer Vision.Cham:Springer2018:319.
[14] [14] HAN KWANG Y HTIAN Qet al.GhostNet:more features from cheap operations[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Seattle:IEEE2020:15771586.
[17] [17] SUNKARA RLUO T.No more strided convolutions or pooling:a new CNN building block for lowresolution images and small objects[C]//European Conference on Machine Learning and Knowledge Discovery in Databases.Cham:Springer2022:443459.
[18] [18] HOU Q BZHOU D QFENG J S.Coordinate attention for efficient mobile network design[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville:IEEE2021:1370813717.
[19] [19] LIU Y CSHAO Z RTENG Y Yet al.NAM:normalizationbased attention module[EB/OL].(20211124)[20231120].https://arxiv.org/abs/2111.12419.
[20] [20] ZHANG X YZHOU X YLIN M Xet al.ShuffleNet:an extremely efficient convolutional neural network for mobile devices[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Salt Lake City:IEEE 2018:68486856.
[21] [21] LI Y HYAO TPAN Y Wet al.Contextual Transformer networks for visual recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence202245(2):14891500.
[22] [22] HE K MZHANG X YREN S Qet al.Deep residual learning for image recognition[C]//Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE 2016:770778.
[24] [24] ZHU P FWEN L YDU D Qet al.Vision meets drones:pastpresent and future[EB/OL].(20200716)[20231120].https://arxiv.org/pdf/2001.06303v2.
[25] [25] REDMON JFARHADI A.YOLOv3:an incremental improvement[EB/OL].(20180408)[20231120].https://arxiv.org/abs/1804.02767.
[26] [26] WANG C YBOCHKOVSKIY ALIAO H Y M.YOLOv7:trainable bagoffreebies sets new stateoftheart for realtime object detectors[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Vancouver:IEEE2023:74647475.
[27] [27] LI C YLI L LJIANG H Let al.YOLOv6:a singlestage object detection framework for industrial applications[EB/OL].(20220907)[20231120].https://arxiv.org/abs/2209.02976.
Get Citation
Copy Citation Text
XU Qiang, XU Sheng, GUO Tailiang, SHI Kai, LAN Weichen, GAO Hehuan. A Lightweight Small Object Detection Method Combining Non-strided Convolution and Contextual Information[J]. Electronics Optics & Control, 2024, 31(10): 83
Received: Nov. 23, 2023
Accepted: --
Published Online: Oct. 23, 2024
The Author Email: