Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim. Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. pages 3871-3880, IEEE, 2020. [doi]
@inproceedings{ChoiHLL20, title = {Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks}, author = {Sungjoon Choi and Sanghoon Hong and Kyungjae Lee and Sungbin Lim}, year = {2020}, doi = {10.1109/CVPR42600.2020.00393}, url = {https://doi.org/10.1109/CVPR42600.2020.00393}, researchr = {https://researchr.org/publication/ChoiHLL20}, cites = {0}, citedby = {0}, pages = {3871-3880}, booktitle = {2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020}, publisher = {IEEE}, isbn = {978-1-7281-7168-5}, }