Cite
Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.
MLA
Yi, Rumeng, et al. “Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.” IEEE Transactions on Image Processing, vol. 31, July 2022, pp. 623–35. EBSCOhost, https://doi.org/10.1109/TIP.2021.3134142.
APA
Yi, R., Huang, Y., Guan, Q., Pu, M., & Zhang, R. (2022). Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation. IEEE Transactions on Image Processing, 31, 623–635. https://doi.org/10.1109/TIP.2021.3134142
Chicago
Yi, Rumeng, Yaping Huang, Qingji Guan, Mengyang Pu, and Runsheng Zhang. 2022. “Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.” IEEE Transactions on Image Processing 31 (July): 623–35. doi:10.1109/TIP.2021.3134142.