APA (7th ed.) Citation

Chen, L., Lou, Y., He, J., Bai, T., & Deng, M. (2022, June). Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation. Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online), 16113-16122. https://doi.org/10.1109/CVPR52688.2022.01566

Chicago Style (17th ed.) Citation

Chen, Liang, Yihang Lou, Jianzhong He, Tao Bai, and Minghua Deng. "Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation." Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Jun. 2022: 16113-16122. https://doi.org/10.1109/CVPR52688.2022.01566.

MLA (9th ed.) Citation

Chen, Liang, et al. "Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation." Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online), Jun. 2022, pp. 16113-16122, https://doi.org/10.1109/CVPR52688.2022.01566.