APA (7th ed.) Citation

Chang, J., Zhen, P., Yan, X., Yang, Y., Gao, Z., & Chen, H. (2025). MemATr: An Efficient and Lightweight Memory-augmented Transformer for Video Anomaly Detection. ACM Transactions on Embedded Computing Systems, 24(3), 1. https://doi.org/10.1145/3719203

Chicago Style (17th ed.) Citation

Chang, Jingjing, Peining Zhen, Xiaotao Yan, Yixin Yang, Ziyang Gao, and Haibao Chen. "MemATr: An Efficient and Lightweight Memory-augmented Transformer for Video Anomaly Detection." ACM Transactions on Embedded Computing Systems 24, no. 3 (2025): 1. https://doi.org/10.1145/3719203.

MLA (9th ed.) Citation

Chang, Jingjing, et al. "MemATr: An Efficient and Lightweight Memory-augmented Transformer for Video Anomaly Detection." ACM Transactions on Embedded Computing Systems, vol. 24, no. 3, 2025, p. 1, https://doi.org/10.1145/3719203.