[1] 刘可文, 房攀攀, 熊红霞, 等. 基于多层级特征的行人重识别[J]. 激光与光电子学进展, 2020, 57(8): 081503.

    Liu K W, Fang P P, Xiong H X, et al. Person re-identification based on multi-layer feature[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081503.

[2] 毕晓君, 汪灏. 基于视角信息嵌入的行人重识别[J]. 光学学报, 2019, 39(6): 0615007.

    Bi X J, Wang H. Person re-identification based on view information embedding[J]. Acta Optica Sinica, 2019, 39(6): 0615007.

[3] 陈兵, 查宇飞, 李运强, 等. 基于卷积神经网络判别特征学习的行人重识别[J]. 光学学报, 2018, 38(7): 0720001.

    Chen B, Zha Y F, Li Y Q, et al. Person re-identification based on convolutional neural network discriminative feature learning[J]. Acta Optica Sinica, 2018, 38(7): 0720001.

[4] Dai ZZ, Chen MQ, Gu XD, et al.Batch DropBlock network for person re-identification and beyond[C]∥2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South).New York: IEEE Press, 2019: 3691- 3701.

[5] Sun YF, ZhengL, YangY, et al.Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline)[M] ∥Computer Vision - ECCV 2018. Cham: Springer International Publishing, 2018: 501- 518.

[6] Wang GS, Yuan YF, ChenX, et al.Learning discriminative features with multiple granularities for person Re-identification[C]∥2018 ACM Multimedia Conference on Multimedia Conference - MM '18.New York: ACM Press, 2018: 274- 282.

[7] 徐龙壮, 彭力. 基于多尺度卷积特征融合的行人重识别[J]. 激光与光电子学进展, 2019, 56(14): 141504.

    Xu L Z, Peng L. Person reidentification based on multiscale convolutional feature fusion[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141504.

[8] GhiasiG, Lin TY, Le QV. DropBlock: a regularization method for convolutional networks[C]∥Advances in Neural Information Processing Systems.2018: 10727- 10737.

[9] XuJ, ZhaoR, ZhuF, et al.Attention-aware compositional network for person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 2119- 2128.

[10] Si JL, Zhang HG, Li CG, et al.Dual attention matching network for context-aware feature sequence based person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 5363- 5372.

[11] LiW, Zhu XT, Gong SG. Harmonious attention network for person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 2285- 2294.

[12] LiX, Wang WH, Hu XL, et al.Selective kernel networks[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA.New York: IEEE Press, 2019: 510- 519.

[13] Zhou KY, Yang YX, CavallaroA, et al.Omni-scale feature learning for person re-identification[C]∥2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27- November 2, 2019, Seoul, Korea (South).New York: IEEE Press, 2019: 3701- 3711.

[14] Chen YP, KalantidisY, Li JS, et al. ( 2018-10-27)[2019-12-26]. https: ∥arxiv.org/abs/1810. 11579.

[15] CholletF. Xception: deep learning with depthwise separable convolutions[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 1800- 1807.

[16] HuJ, ShenL, SunG. Squeeze-and-excitation networks[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 7132- 7141.

[17] Lin TY, RoyChowdhury A, Maji S. Bilinear CNN models for fine-grained visual recognition[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile.New York: IEEE Press, 2015: 1449- 1457.

[18] Wang HX, Gong SG, Xiang T. Highly efficient regression for scalable person re-identification[EB/OL]. ( 2016-12-05)[2019-12-26]. https: ∥arxiv.org/abs/1612. 01341.

[19] Zheng ZD, ZhengL, YangY. Unlabeled samples generated by GAN improve the person re-identification baseline in vitro[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy.New York: IEEE Press, 2017: 3774- 3782.

[20] LiW, ZhaoR, XiaoT, et al.DeepReID: deep filter pairing neural network for person re-identification[C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE Press, 2014: 152- 159.

[21] Felzenszwalb P F, Girshick R B. McAllester D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(9): 1627-1645.

[22] Song CF, HuangY, Wanli OY, et al.Mask-guided contrastive attention model for person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 1179- 1188.

[23] Li DW, Chen XT, ZhangZ, et al.Learning deep context-aware features over body and latent parts for person re-identification[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 7398- 7407.

[24] Chang XB, Hospedales TM, XiangT. Multi-level factorisation net for person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 2109- 2118.

[25] Kalayeh MM, BasaranE, GökmenM, et al.Human semantic parsing for person re-identification[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA.New York: IEEE Press, 2018: 1062- 1071.

[26] ZhongZ, ZhengL, Cao DL, et al.Re-ranking person re-identification with k-reciprocal encoding[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 3652- 3661.

[27] LiW, Zhu XT, Gong S G. Person re-identification by deep joint learning of multi-loss classification[EB/OL]. ( 2017-05-12)[2019-12-26]. https: ∥arxiv.org/abs/1705. 04724.

[28] Sun YF, ZhengL, Deng WJ, et al.SVDNet for pedestrian retrieval[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy.New York: IEEE Press, 2017: 3820- 3828.

[29] Chen YB, Zhu XT, Gong SG. Person re-identification by deep learning multi-scale representations[C]∥2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy.New York: IEEE Press, 2017: 2590- 2600.

[30] SandlerM, HowardA, Zhu ML, et al.MobileNetV2: inverted residuals and linear bottlenecks[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE Press, 2018: 4510- 4520.