Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0415008(2023)
Attention Mechanism-Based Improved Lightweight Target Detection Algorithm
[1] Xu P, Cai X L, He W W et al. Motion detection based on deep auto-encoder networks[J]. Journal of Computer Applications, 34, 2934-2937, 2962(2014).
[2] Li W G, Yang C, Jiang L et al. Indoor scene target detection based on improved YOLOv4 algorithm[J]. Laser & Optoelectronics Progress, 59, 1815003(2022).
[3] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).
[4] Girshick R. Fast R-CNN[C], 1440-1448(2015).
[5] Ren S Q, He K M, 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, 39, 1137-1149(2017).
[6] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016, 9905, 21-37(2016).
[7] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 318-327(2020).
[8] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).
[9] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).
[12] Wang C Y, Liao H Y M, Wu Y H et al. CSPNet: a new backbone that can enhance learning capability of CNN[C], 1571-1580(2020).
[13] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[14] Xie S N, Girshick R, Dollár P et al. Aggregated residual transformations for deep neural networks[C], 5987-5995(2017).
[15] Huang G, Liu Z, van der Maaten L et al. Densely connected convolutional networks[C], 2261-2269(2017).
[18] Kong W G, Li W J, Wang Q Y et al. Design and implementation of lightweight network based on improved YOLOv4 algorithm[J]. Computer Engineering, 48, 181-188(2022).
[19] Zhang X, Zhang Y Q, He B et al. Research on remote sensing image aircraft target detection technology based on YOLOv4-tiny[J]. Optical Technique, 47, 344-351(2021).
[20] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).
[21] Wang F S, Wang Q S, Chen J G et al. Improved Faster R-CNN target detection algorithm based on attention mechanism and Soft-NMS[J]. Laser & Optoelectronics Progress, 58, 2420001(2021).
[23] Rezatofighi H, Tsoi N, Gwak J Y et al. Generalized intersection over union: a metric and a loss for bounding box regression[C], 658-666(2019).
[24] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12993-13000(2020).
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Mei Jin, Yihui Li, Liguo Zhang, Zijian Ma. Attention Mechanism-Based Improved Lightweight Target Detection Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0415008
Category: Machine Vision
Received: Nov. 12, 2021
Accepted: Jan. 5, 2022
Published Online: Feb. 13, 2023
The Author Email: Li Yihui (liyihui819@163.com)