Cite
Improving the performance of semi-supervised person Re-identification by selecting reliable unlabeled samples.
MLA
Chen, Xinyuan, et al. “Improving the Performance of Semi-Supervised Person Re-Identification by Selecting Reliable Unlabeled Samples.” Engineering Applications of Artificial Intelligence, vol. 133, July 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2024.108367.
APA
Chen, X., Niu, Y., Du, F., & Lv, G. (2024). Improving the performance of semi-supervised person Re-identification by selecting reliable unlabeled samples. Engineering Applications of Artificial Intelligence, 133, N.PAG. https://doi.org/10.1016/j.engappai.2024.108367
Chicago
Chen, Xinyuan, Yi Niu, Fawen Du, and Guilin Lv. 2024. “Improving the Performance of Semi-Supervised Person Re-Identification by Selecting Reliable Unlabeled Samples.” Engineering Applications of Artificial Intelligence 133 (July): N.PAG. doi:10.1016/j.engappai.2024.108367.