[1] XUE G,ZHU H,HU Z,et al.Pothole in the dark:Perceiving pothole profiles with participatory urban vehicles[J].IEEE Transactions on Mobile Computing,2017,16(5):1408-1419. [2] LYU F,FANG L,XUE G,et al.Large-scale full WiFi coverage:Deployment and management strategy based on user spatio-temporal association analytics[J].IEEE Internet of Things Journal,2019,6(6):9386-9398. [3] LIU Y,SHENG H,ZHENG Y,et al.GDMN:Group decision-making network for person re-identification[J].IEEE Access,2018,6:64169-64181. [4] LV K,DENG W,HOU Y,et al.Vehicle reidentification with the location and time stamp[C]//Proceedings of the IEEE International Conference on Computer Vision Workshops.Piscataway:IEEE Press,2019:399-406. [5] ZHANG X,ZHANG R,CAO J,et al.Part-guided attention learning for vehicle re-identification[EB/OL].(2020-02-17)[2020-03-01].https://arxiv.org/abs/1909.06023. [6] CHU R,SUN Y,LI Y,et al.Vehicle re-identification with viewpoint-aware metric learning[C]//Proceedings of the IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2019:8282-8291. [7] 李熙莹,周智豪,邱铭凯.基于部件融合特征的车辆重识别算法[J].计算机工程,2019,45(6):12-20.LI X Y,ZHOU Z H,QIU M K.Vehicle re-identification algorithm based on component fusion feature[J].Computer Engineering,2019,45(6):12-20(in Chinese). [8] 王盼盼,李玉惠,李福卫.基于特征融合和度量学习的车辆重识别[J].电子科技,2018,31(9):29-31.WANG P P,LI Y H,LI F W.Vehicle re-identification based on multi-features and metric learning[J].Electronic Science and Technology,2018,31(9):29-31(in Chinese). [9] 王盼盼,李玉惠.基于特征融合和L-M算法的车辆重识别方法[J].电子科技,2018,31(4):12-15.WANG P P,LI Y H.Vehicle re-identification method based on feature fusion and L-M algorithm[J].Electronic Science and Technology,2018,31(4):12-15(in Chinese). [10] SUPREM A,PU C.Looking GLAMORous:Vehicle Re-Id in heterogeneous cameras networks with global and local attention[EB/OL].(2020-02-06)[2020-03-01].https://arxiv.org/abs/2002.02256. [11] ZAPLETAL D,HEROUT A.Vehicle re-identification for automatic video traffic surveillance[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.Piscataway:IEEE Press,2016:25-31. [12] KHORRAMSHAHI P,KUMAR A,PERI N,et al.A dual-path model with adaptive attention for vehicle re-identification[C]//Proceedings of the IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2019:6132-6141. [13] KANACI A,LI M,GONG S,et al.Multi-task mutual learning for vehicle re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.Piscataway:IEEE Press,2019:62-70. [14] NEWELL A,YANG K,DENG J.Stacked Hourglass networks for human pose estimation[C]//European Conference on Computer Vision.Berlin:Springer,2016:483-499. [15] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:770-778. [16] HE B,LI J,ZHAO Y,et al.Part-Regularized near-duplicate vehicle re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:3997-4005. [17] LIU H,TIAN Y,YANG Y,et al.Deep relative distance learning:Tell the difference between similar vehicles[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:2167-2175. [18] ZHONG Z,ZHENG L,KANG G,et al.Random erasing data augmentation[EB/OL].(2017-11-16)[2020-03-01].https://arxiv.org/abs/1708.04896. [19] WANG Z,TANG L,LIU X,et al.Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification[C]//Proceedings of the IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:379-387. [20] LIU X,LIU W,MEI T,et al.Provid:Progressive and multimodal vehicle reidentification for large-scale urban surveillance[J].IEEE Transactions on Multimedia,2017,20(3):645-658. [21] ZHOU Y,SHAO L.Aware attentive multi-view inference for vehicle re-identification[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:6489-6498. [22] GUO H,ZHAO C,LIU Z,et al.Learning coarse-to-fine structured feature embedding for vehicle re-identification[C]//Thirty-Second AAAI Conference on Artificial Intelligence.Palo Alto:AAAI Press,2018:6853-6860. [23] LIU X,ZHANG S,HUANG Q,et al.RAM:A region-aware deep model for vehicle re-identification[C]//2018 IEEE International Conference on Multimedia and Expo.Piscataway:IEEE Press,2018:1-6. |