Author:
Cui Lichao,Liu Mingxin,Wang Ruhua,Zafar Numan
Publisher
Springer Nature Singapore
Reference30 articles.
1. Lavi, B., Ullah, I., Fatan, M., Rocha, A.: Survey on reliable deep learning-based person re-identification models: are we there yet? arXiv preprint arXiv:2005.00355 (2020)
2. Miao, J., Wu, Y., Yang, Y.: Identifying visible parts via pose estimation for occluded person re-identification. IEEE Trans. Neural Netw. Learn. Syst. 33(9), 4624–4634 (2021)
3. Liu, Y., Zhou, W., Xi, M., Shen, S., Li, H.: Multi-modal context propagation for person re-identification with wireless positioning. IEEE Trans. Multimedia 24, 3060–3073 (2021)
4. Yaqoob, I., Hassan, M.U., Niu, D., Zhao, X., Hameed, I.A., Hassan, S.-U.: A novel person re-identification network to address low resolution problem in smart city context. ICT Express 9(5), 809–814 (2022)
5. Li, S., Bak, S., Carr, P., Wang, X.: Diversity regularized spatiotemporal attention for video-based person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 369–378 (2018)