Target Detection Algorithm Based on Improved YOLO v3

Qiong Zhao; Baoqing Li; Tangwei Li

doi:10.3788/LOP57.121502

[1] Viola P, Jones M. Rapid object detection using a boosted cascade of simple features. [C]∥Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, December 8-14, 2001, Kauai, HI, USA. New York: IEEE, 511-518(2001).

[2] Ma J J, Pan Q, Liang Y et al. Object detection based on improved Grassberger entropy random forest classifier[J]. Chinese Journal of Lasers, 46, 0704011(2019).

[3] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

[4] Uijlings J R R, Gevers T et al. Selective search for object recognition[J]. International Journal of Computer Vision, 104, 154-171(2013). http://dl.acm.org/citation.cfm?id=2509382

[5] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

[6] 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).

[7] Cao Y J, Xu G M, Shi G C. Low altitude armored target detection based on rotation invariant Faster R-CNN[J]. Laser & Optoelectronics Progress, 55, 101501(2018).

[8] Dai J, Li Y, He K et al. R-FCN: object detection via region-based fully convolutional networks. [C]∥Conference and Workshop on Neural Information Processing Systems, December 5-10, 2016, Barcelona, Spain. New York: Curran Associates, 379-387(2016).

[9] Lin T Y, Dollar P, Girshick R et al. Feature pyramid networks for object detection. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2117-2125(2017).

[10] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 779-788(2016).

[11] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 7263-7271(2017).

[12] Ioffe S. -03-02)[2019-11-01]. https:∥arxiv., org/abs/1502, 03167(2015).

[13] Wei Y M, Quan J C. Hou Y Q Y. Aerial image location of unmanned aerial vehicle based on YOLO v2[J]. Laser & Optoelectronics Progress, 54, 111002(2017).

[14] 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. Lecture notes in computer science. Cham: Springer, 9905, 21-37(2016).

[15] Fu C, Liu W, Ranga A et al. -01-23)[2019-11-01]. https:∥ arxiv., org/abs/1701, 06659(2017).

[16] Wang J Q, Li J S, Zhou X W et al. Improved SSD algorithm and its performance analysis of small target detection in remote sensing images[J]. Acta Optica Sinica, 39, 0628005(2019).

[17] Redmon J. -04-08)[2019-11-01]. https:∥arxiv., org/abs/1804, 02767(2018).

[18] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice. New York: IEEE, 2980-2988(2017).

[19] Fan B, Niu J C, Zhao J. Three-phase full-controlled rectifier circuit fault diagnosis based on optimized neural networks. [C]∥2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), August 8-10, 2011, Deng Feng, China. New York: IEEE, 6048-6051(2011).