[1] [1] LIU X, LIU W, MA H, et al. Large-scale vehicle re-identification in urban surveillance videos[C]//2016 IEEE International Conference on Multimedia and Expo (ICME), July 11-15, 2016, Seattle, USA. New York: IEEE, 2016: 1-6.

[2] [2] ZHANG X, ZHANG R, CAO J, et al. Part-guided attention learning for vehicle instance retrieval[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 23(4): 3048-3060.

[3] [3] CHEN H, LAGADEC B, BREMOND F. Partition and reunion: A two-branch neural network for vehicle re-identification[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 16-20, 2019, Long Beach, USA. New York: IEEE, 2019: 184-192.

[4] [4] QIAN J, JIANG W, LUO H, et al. Stripe-based and attribute-aware network: A two-branch deep model for vehicle re-identification[J]. Measurement Science and Technology, 2020, 31(9): 095401.

[5] [5] WANG H, PENG J, JIANG G, et al. Discriminative feature and dictionary learning with part-aware model for vehicle re-identification[J]. Neurocomputing, 2021, 438: 55-62.

[6] [6] 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 (ICME), July 23-27, 2018, Vancouver, Canada. New York: IEEE, 2018: 1-6.

[8] [8] MENG D, LI L, LIU X, et al. Parsing-based view-aware embedding network for vehicle re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 14-19, 2020, Seattle, USA. New York: IEEE 2020: 7103-7112.

[11] [11] TIAN X, PANG X, JIANG G, et al. Vehicle re-identification based on global relational attention and multi-granularity feature learning[J]. IEEE Access, 2022, 10: 17674-17682.

[12] [12] LUO H, GU Y, LIAO X, et al. Bag of tricks and a strong baseline for deep person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 16-20, 2019, Long Beach, USA. New York: IEEE, 2019: 1487-1495.

[13] [13] LIU Z, MAO H, WU C Y, et al. A convnet for the 2020s[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19-24, 2022, New Orleans, USA. New York: IEEE, 2022: 11976-11986.

[14] [14] DAI J, QI H, XIONG Y, et al. Deformable convolutional networks[C]//IEEE International Conference on Computer Vision, October 22-29, 2017, Venice, Italy. New York: IEEE, 2017: 764-773.

[15] [15] HE S, LUO H, WANG P, et al. TransReID: Transformer-based object re-identification[C]//IEEE/CVF International Conference on Computer Vision, October 10-17, 2021, Montreal, Canada. New York: IEEE, 2021: 15013-15022.

[16] [16] LI K, DING Z, LI K, et al. Vehicle and person re-identification with support neighbor loss[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 33(2): 826-838.

[17] [17] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]//IEEE Conference on Computer Vision and Pattern Recognition, June 18-22, 2018, Salt Lake City, USA. New York: IEEE, 2018: 7132-7141.