Adelaide Research & Scholarship
Browsing "Australian Institute for Machine Learning" by Author Tian, Y.
Showing results 1 to 4 of 4
Preview | Issue Date | Title | Author(s) |
| 2022 | ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification | Liu, F.; Tian, Y.; Chen, Y.; Liu, Y.; Belagiannis, V.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana) |
| 2022 | Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes | Tian, Y.; Liu, Y.; Pang, G.; Liu, F.; Chen, Y.; Carneiro, G.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel) |
| 2021 | Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification | Liu, F.; Tian, Y.; Cordeiro, F.R.; Belagiannis, V.; Reid, I.; Carneiro, G.; Lian, C.; Cao, X.; Rekik, I.; Xu, X.; Yan, P.; 12th International Workshop, Machine Learning in Medical Imaging (MLMI) (27 Sep 2021 - 27 Sep 2021 : Strasbourg, France) |
| 2023 | Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images | Tian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G. |