[1] ZHENG L,YANG Y,HAUPTMANN A G.Person re-identification:Past,present and future[EB/OL].(2016-10-10)[2020-03-01].https://arxiv.org/abs/1610.02984. [2] 田萱,王亮,丁琪.基于深度学习的图像语义分割方法综述[J].软件学报,2019,30(2):440-468.TIAN X,WANG L,DING Q.Review of image semantic segmentation based on deep learning[J].Journal of Software,2019,30(2):440-468(in Chinese). [3] HAN C C,YE J C,ZHONG Y S,et al.Re-ID driven localization refinement for person search[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2019:9814-9823. [4] VARIOR R R,HALOI M,WANG G.Gated Siamese convolutional neural network architecture for human re-identiflcation[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:791-808. [5] CHENG D,GONG Y H,ZHOU S P,et al.Person re-identiflcation by multi-channel parts-based CNN with improved triplet loss function[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:1335-1344. [6] ZHENG Z D,ZHENG L,YANG Y.Unlabeled samples generated by GAN improve the person re-identification baseline in vitro[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:3754-3762. [7] WEN Y,ZHANG K,LI Z F,et al.A discriminative feature learning approach for deep face recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:499-515. [8] 蔡轶珩,王雪艳,胡绍斌,等.基于多源图像弱监督学习的3D人体姿态估计[J].北京航空航天大学学报,2019,45(12):2375-2384.CAI Y H,WANG X Y,HU S B,et al.Three-dimensional human pose estimation based on multi-source image weakly-supervised learning[J].Journal of Beijing University of Aeronautics and Astronautics,2019,45(12):2375-2384(in Chinese). [9] CAO Z,SIMON T,WEI S E,et al.Realtime multi-person 2D pose estimation using part affinity fields[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2017:7291-7299. [10] WEI S E,RAMAKRISHNA V,KANADE T,et al.Convolutional pose machines[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:4724-4732. [11] 郭琳,秦世引.遥感图像飞机目标高效搜检深度学习优化算法[J].北京航空航天大学学报,2019,45(1):159-173.GUO L,QIN S Y.Deep learning and optimization algorithm for high efficient searching and detection of aircraft targets in remote sensing images[J].Journal of Beijing University of Aeronautics and Astronautics,2019,45(1):159-173(in Chinese). [12] ZHENG L,HUANG Y,LU H,et al.Pose invariant embedding for deep person re-identification[J].IEEE Transactions on Image Processing,2019,28(9):4500-4509. [13] SU C,LI J,ZHANG S,et al.Posedriven deep convolutional model for person re-identification[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:3960-3969. [14] WEI L,ZHANG S,YAO H,et al.GLAD:Global-local-alignment descriptor for pedestrian retrieval[C]//ACM International Conference on Multimedia.New York:ACM,2017:420-428. [15] YAO H,ZHANG S,HONG R,et al.Deep representation learning with part loss for person re-identification[J].IEEE Transactions on Image Processing,2019,28(6):2860-2871. [16] SUN Y F,XU Q,LI Y L,et al.Perceive where to focus:Learning visibility-aware part-level features for partial person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:393-402. [17] SUN Y F,ZHENG L,YANG Y,et al.Beyond part models:Person retrieval with refined part pooling[C]//European Conference on Computer Vision.Berlin:Springer,2019:480-496. [18] LIU X,ZHAO H,TIAN M,et al.HydraPlus-Net:Attentive deep features for pedestrian analysis[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:350-359. [19] ZHAO L,LI X,WANG J,et al.Deeply-learned part-aligned representations for person re-identification[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:3219-3228. [20] CHEN T L,DING S J,XIE J Y,et al.ABD-Net:Attentive but diverse person re-identification[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2019:8351-8361. [21] LI W,ZHU X T,GONG S G,et al.Harmonious attention network for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:2285-2294. [22] SUN X X,ZHENG L.Dissecting person re-identification from the viewpoint of viewpoint[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:608-617. [23] ZHENG Z D,YANG X D,YU Z D,et al.Joint discriminative and generative learning for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:2138-2147. [24] LUO Y W,ZHENG L,GUAN T,et al.Taking a closer look at domain shift:Category-level adversaries for semantics consistent domain adaptation[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:2507-2516. [25] HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2016:770-778. [26] DONG X Y,YANG Y.Searching for a robust neural architecture in four GPU hours[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:1761-1770. [27] FAN H H,ZHENG L,YAN C G,et al.Unsupervised person re-identification:Clustering and finetuning[J].ACM Transactions on Multimedia Computing,Communications,and Applications,2018,14(4):1-18. [28] YU H X,WU A C,ZHENG W S.Crossview asymmetric metric learning for unsupervised person re-identification[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2017:994-1002. [29] DENG W J,ZHENG L,YE Q X,et al.Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:994-1003. [30] WEI L H,ZHANG S J,GAO W,et al.Person transfer GAN to bridge domain gap for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:79-88. [31] BAK S,CARR P,LALONDE J F.Domain adaptation through synthesis for unsupervised person re-identification[C]//European Conference on Computer Vision.Berlin:Springer,2018:189-205. [32] WANG J Y,ZHU X T,GONG S G,et al.Transferable joint attribute-identity deep learning for unsupervised person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:2275-2284. [33] LIN S,LI H L,LI C T,et al.Multi-task mid-level feature alignment network for unsupervised cross-dataset person re-identification[C]//British Machine Vision Conference.Berlin:Springer,2018:1-13. [34] ZHONG Z,ZHENG L,ZHENG Z D,et al.Camera style adaptation for person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:5157-5166. [35] YU H X,ZHENG W S,WU A C,et al.Unsupervised person re-identification by soft multilabel learning[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:2148-2157. [36] CHEN Y B,ZHU X T,GONG X T,et al.Instance-guided context rendering for cross-domain person re-identification[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2019:232-242. [37] HUANG H J,YANG W J,CHEN X T,et al.EANet:Enhancing alignment for cross domain person re-identification[EB/OL].(2018-12-29)[2020-03-01].https://arxiv.org/abs/1812.11369. [38] DENG J,DONG W,SOCHER R,et al.ImageNet:A large-scale hierarchical image database[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2009:248-255. [39] ZHANG X,LUO H, FAN X,et al.AlignedReID:Surpassing human-level performance in person re-identification[EB/OL].(2017-11-22)[2020-03-01].https://arxiv.org/abs/1711.08184. [40] CHOI Y,CHOI M,KIM M,et al.StarGAN:Unified generative adversarial networks for multi-domain image-to-image translation[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2018:8789-8797. [41] ZHENG L,SHEN L Y,TIAN L,et al.Scalable person re-identification:A benchmark[C]//IEEE International Conference on Computer Vision.Piscataway:IEEE Press,2015:1116-1124. [42] RISTANI E,SOLERA F,ZOU R,et al.Performance measures and a data set for multi-target,multi-camera tracking[C]//European Conference on Computer Vision.Berlin:Springer,2016:17-35. [43] RUSSAKOVSKY O,DENG J,SU H,et al.ImageNet large scale visual recognition challenge[J].International Journal of Computer Vision,2015,115:211-252. [44] ZHONG Z,ZHENG L,LUO Z M,et al.Invariance matters:Exemplar memory for domain adaptive person re-identification[C]//IEEE Conference on Computer Vision and Pattern Recognition.Piscataway:IEEE Press,2019:598-607. [45] ZHONG Z,ZHENG L,ZHENG Z D,et al.CamStyle:A novel data augmentation method for person re-identification[J].IEEE Transactions on Image Processing,2019,28(3):1176-1190. [46] ZHONG Z,ZHENG L,LI S Z,et al.Generalizing a person retrieval model hetero-and homogeneously[C]//European Conference on Computer Vision.Berlin:Springer,2018:172-188. |