Electronics Optics & Control, Volume. 31, Issue 9, 31(2024)
HCAC and MWFN Based Small Object Detection Algorithm
[1] [1] ROY A MBOSE RBHADURI J.A fast accurate finegrain object detection model based on YOLOv4 deep neural network[J].Neural Computing and Applications 202234:38953921.
[3] [3] TIAN G YLIU J RYANG W Y.A dual neural network for object detection in UAV images[J].Neurocomputing 2021443:292301.
[4] [4] LIU WANGUELOV DERHAN Det al.SSD:single shot multibox detector[C]//Computer VisionECCV 2016:14th European Conference.Amsterdam:Springer International Publishing2016:2137.
[5] [5] REDMON JDIVVALA SGIRSHICK Ret al.You only look once:unifiedrealtime object detection[C]//Conference on Computer Vision and Pattern Recognition (CVPR).Las Vegas:IEEE2016:779788.
[6] [6] CAO J LCHOLAKKAL HANWER R Met al.D2Det:towards high quality object detection and instance segmentation[C]//IEEE/CVF conference on Computer Vision and Pattern Recognition(CVPR).Seattle:IEEE 2020:1148511494.
[7] [7] REN S QHE K MGIRSHICK Ret al.Faster RCNN:towards realtime object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence201639(6):11371149.
[8] [8] WANG GCHEN Y FAN Pet al.UAVYOLOv8:a smallobjectdetection model based on improved YOLOv8 for UAV aerial photography scenarios[J].Sensors202323(16):7190.
[9] [9] LOU H TDUAN X HGUO J Met al.DCYOLOv8:smallsize object detection algorithm based on camera sensor[J].Electronics202312(10):2323.
[10] [10] LIU H YSUN F QGU J Set al.SFYOLOv5:a lightweight small object detection algorithm based on improved feature fusion mode[J].Sensors202222(15):5817.
[11] [11] SHANG J CWANG J SLIU S Bet al.Small target detection algorithm for UAV aerial photography based on improved YOLOv5s[J].Electronics202312(11):2434.
[12] [12] XIAO J SGUO H WYAO Y Tet al.Multiscale object detection with the pixel attention mechanism in a complex background[J].Remote Sensing202214(16):3969.
[13] [13] WANG MYANG W ZWANG L Jet al.FEYOLOv5:feature enhancement network based on YOLOv5 for small object detection[J].Journal of Visual Communication and Image Representation202390(C).doi:10.1016/j.jvcir.2023.103752.
[16] [16] TERVEN J RCORDOVAESPARZA D M.A comprehensive review of YOLO:from YOLOv1 and beyond [R].Los Alamos:arXiv Preprint2023:arXiv:2304.00501.
[17] [17] SRINIVAS ALIN T YPARMAR Net al.Bottleneck transformers for visual recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville:IEEE2021:1651916529.
[18] [18] TONG Z JCHEN Y HXU Z Wet al.WiseIoU:bounding box regression loss with dynamic focusing mechanism[R].Los Alamos:arXiv Preprint2023:arXiv:2301.10051.
[19] [19] ZHAI X XHUANG Z HLI Tet al.YOLODrone:an optimized YOLOv8 network for tiny UAV object detection[J].Electronics202312(17):3664.
[20] [20] LI Y TFAN Q SHUANG H Set al.A modified YOLOv8 detection network for UAV aerial image recognition[J].Drones20237(5):304.
[21] [21] DU D WZHU P FWEN L Yet al.VisDroneDET2019:the vision meets drone object detection in image challenge results[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).Seoul:ICCVW2019:213226.
[22] [22] ZHAO L LZHU M L.MSYOLOv7:YOLOv7 based on multiscale for object detection on UAV aerial photography[J].Drones20237(3):188.
Get Citation
Copy Citation Text
ZHU Gaofeng, WANG Zhixue, ZHU Fenghua, XIONG Gang. HCAC and MWFN Based Small Object Detection Algorithm[J]. Electronics Optics & Control, 2024, 31(9): 31
Received: Nov. 8, 2023
Accepted: --
Published Online: Oct. 22, 2024
The Author Email: