Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara. Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019. pages 1-7, IEEE, 2019. [doi]
@inproceedings{SatoHMU19, title = {Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation}, author = {Kazuki Sato and Kenta Hama and Takashi Matsubara and Kuniaki Uehara}, year = {2019}, doi = {10.1109/IJCNN.2019.8852144}, url = {https://doi.org/10.1109/IJCNN.2019.8852144}, researchr = {https://researchr.org/publication/SatoHMU19}, cites = {0}, citedby = {0}, pages = {1-7}, booktitle = {International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019}, publisher = {IEEE}, isbn = {978-1-7281-1985-4}, }