APA (7th ed.) Citation

Yang, J., Xiao, S., Li, A., Lu, W., Gao, X., & Li, Y. (2022). MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention. IEEE transactions on circuits and systems for video technology, 32(7), 4854-4866. https://doi.org/10.1109/TCSVT.2021.3133859

Chicago Style (17th ed.) Citation

Yang, Jiachen, Shuai Xiao, Aiyun Li, Wen Lu, Xinbo Gao, and Yang Li. "MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention." IEEE Transactions on Circuits and Systems for Video Technology 32, no. 7 (2022): 4854-4866. https://doi.org/10.1109/TCSVT.2021.3133859.

MLA (9th ed.) Citation

Yang, Jiachen, et al. "MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention." IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 7, 2022, pp. 4854-4866, https://doi.org/10.1109/TCSVT.2021.3133859.