This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Yang Hongwei, Zhang Yun. Progress in the application of computer vision technology in insect identification [J]. Bioinformatics, 2005, (03):133–136.HongweiYangYunZhangProgress in the application of computer vision technology in insect identification [J]. , 2005, (03):133–136.Search in Google Scholar
Yu M C, Yu T, Wang S C, et al. Big data small footprint: the design of a low-power classifier for detecting transportation modes [J]. Proceedings of the Vldb Endowment, 2014, 7(13):1429–1440.YuM CYuTWangS CBig data small footprint: the design of a low-power classifier for detecting transportation modes [J]. , 2014, 7(13):1429–1440.Search in Google Scholar
Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection [C]. IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779–788.RedmonJDivvalaSGirshickRYou only look once: unified, real-time object detection [C]. , 2016: 779–788.Search in Google Scholar
Zhu Leqing, Zhang Daxing, Zhang Zhen. Image recognition of lepidopteran insects based on color names and OppcmmtSIFT features [J]. Journal of Entomology, 2015, 58(12).LeqingZhuDaxingZhangZhenZhangImage recognition of lepidopteran insects based on color names and OppcmmtSIFT features [J]. , 2015, 58(12).Search in Google Scholar
Zhang Lei, Chen Xiaolin, Hou Xinwen et al. Construction and testing of an automatic digital image recognition system for insects of the genus Drosophila in the family Psittacidae [J]. Journal of Entomology, 2011, 54(2):184–196.LeiZhangXiaolinChenXinwenHouConstruction and testing of an automatic digital image recognition system for insects of the genus Drosophila in the family Psittacidae [J]. , 2011, 54(2):184–196.Search in Google Scholar
Redmon, 3oseph, and Ali Farhadi. YOL09000: Better; Faster, Stronger. Conference on Computer Vision and Pattern Recognition, 6517-6525, 2017.[4].Redmon3osephFarhadiAliYOL09000: Better; Faster, Stronger. , 6517–6525, 2017.[4].Search in Google Scholar
Girshick R. Fast R-CNN [C]. Proceedings of ICCV 2015, 2015.GirshickR.Fast R-CNN [C]. , 2015.Search in Google Scholar
Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013:580–587.GirshickRDonahueJDarrellTRich feature hierarchies for accurate object detection and semantic segmentation[C]. , 2013:580–587.Search in Google Scholar
He, Kaiming et al. Deep Residual Learning for Image Recognition [C]. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016): 770–778.HeKaimingDeep Residual Learning for Image Recognition [C]. (2016): 770–778.Search in Google Scholar
W. Zhang, S. Wang, S. Thachan, J. Chen and Y. Qian. Deconv R-CNN for Small Object Detection on Remote Sensing Images [J]. IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 2018:2483–2486.ZhangW.WangS.ThachanS.ChenJ.QianY.Deconv R-CNN for Small Object Detection on Remote Sensing Images [J]. , 2018:2483–2486.Search in Google Scholar
K. S. Htet and M. M. Sein. Event Analysis for Vehicle Classification using Fast RCNN [C]. 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), 2020:403–404.HtetK. S.SeinM. M.Event Analysis for Vehicle Classification using Fast RCNN [C]. , 2020:403–404.Search in Google Scholar
Xing Shanshan, Zhao Wenlong. A review on UAV target detection in complex scenes based on YOLO series algorithms [J]. Computer Application Research, 2020, 37(S2):28–30.ShanshanXingWenlongZhaoA review on UAV target detection in complex scenes based on YOLO series algorithms [J]. , 2020, 37(S2):28–30.Search in Google Scholar
Szegedy C, Wei L, Jia Y, et al. Going deeper with convolutions [C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015.SzegedyCWeiLJiaYGoing deeper with convolutions [C]. . IEEE, 2015.Search in Google Scholar
Matthew D. Zeiler and Rob FergusD. Fleet et al. Visualizing and Understanding Convolutional Networks [C]. ECCV 2014, Part I, LNCS 8689, pp. 818–833, 2014.ZeilerMatthew D.FleetRob FergusD.Visualizing and Understanding Convolutional Networks [C]. , pp. 818–833, 2014.Search in Google Scholar
Chen, Yaqian. Research on Quantization and Deployment of Convolutional Neural Networks Based on Nor Flash [D]. University of Science and Technology of China, 2021.ChenYaqian.. University of Science and Technology of China, 2021.Search in Google Scholar