About author:CHEN Shurong, born in 1972, M. S, associate professor. Her research interests include modern communication network and control, image and video analysis and processing.
LIU N. Person re-identification based on convolutional neural networks[D]. Shanghai: East China Normal University, 2017:977-983. 10.1109/icassp.2017.7952461
LI J, ZHANG X H, ZHU H, et al. Person re-identification via multiple confidences re-ranking[J]. Pattern Recognition and Artificial Intelligence, 2017, 30(11):995-1002.
3
AHMED E, JONES M, MARKS T K. An improved deep learning architecture for person re-identification[C]// Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2015: 3908-3916. 10.1109/cvpr.2015.7299016
4
SUN Y F, ZHENG L, YANG Y, et al. Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline)[C]// Proceedings of the 2018 European Conference on Computer Vision, LNCS 11208. Cham: Springer, 2018:501-518.
5
ZHENG F, DENG C, SUN X, et al. Pyramidal person re-identification via multi-loss dynamic training[C]// Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2019: 8506-8514. 10.1109/cvpr.2019.00871
6
HE K M, ZHANG X Y, REN S Q, et al. Deep residual learning for image recognition[C]// Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2016: 770-778. 10.1109/cvpr.2016.90
7
ZHANG J P, JIANG F. Multi-level supervised network for person re-identification[C]// Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway: IEEE, 2019: 2072-2076. 10.1109/icassp.2019.8683858
8
TAN M X, LE Q V. EfficientNet: rethinking model scaling for convolutional neural networks[C]// Proceedings of the 36th International Conference on Machine Learning. New York: JMLR.org, 2019: 6105-6114.
9
TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection[C]// Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2020:10778-10787. 10.1109/cvpr42600.2020.01079
10
ZHONG Z, ZHENG L, KANG G L, et al. Random erasing data augmentation[C]// Proceedings of the 34th AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2020: 13001-13008. 10.1609/aaai.v34i07.7000
11
HU J, SHEN L, ALBANIE S, et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(8): 2011-2023. 10.1109/tpami.2019.2913372
12
RISTANI E, SOLERA F, ZOU R, et al. Performance measures and a data set for multi-target, multi-camera tracking[C]// Proceedings of the 2016 European Conference on Computer Vision, LNCS 9914. Cham: Springer, 2016: 17-35.
13
LI W, ZHAO R, XIAO T, et al. DeepReID: deep filter pairing neural network for person re-identification[C]// Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2014: 152-159. 10.1109/cvpr.2014.27
14
KINGMA D P, BA J L. Adam: a method for stochastic optimization[EB/OL]. (2017-01-30) [2020-01-20]..
15
ZHENG Z, ZHENG L, YANG Y. A discriminatively learned CNN embedding for person re-identification[EB/OL]. (2016-11-17) [2020-02-21]. . 10.1145/3159171
16
FU Y, WEI Y C, ZHOU Y Q, et al. Horizontal pyramid matching for person re-identification[C]// Proceedings of the 33rd AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2019: 8295-8302. 10.1609/aaai.v33i01.33018295
17
WANG G S, YUAN Y F, CHEN X, et al. Learning discriminative features with multiple granularities for person re-identification[C]// Proceedings of the 26th ACM International Conference on Multimedia. New York: ACM, 2018: 274-282. 10.1145/3240508.3240552