 Learning Adaptive Embedding Considering Incremental ClassIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 |
 S2OSC: A Holistic Semi-Supervised Approach for Open Set ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2020 |
 Towards Robust Pattern Recognition: A ReviewProceedings of the IEEE (Proc. IEEE), 2020 |
 Few-Shot Open-Set Recognition using Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2020 |
 Universal Source-Free Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020 |
 Hybrid Models for Open Set RecognitionEuropean Conference on Computer Vision (ECCV), 2020 |
 Conditional Gaussian Distribution Learning for Open Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 |
 OpenGAN: Open Set Generative Adversarial NetworksAsian Conference on Computer Vision (ACCV), 2020 |
 An Unbiased Risk Estimator for Learning with Augmented ClassesNeural Information Processing Systems (NeurIPS), 2019 |
 Unsupervised Out-of-Distribution Detection by Maximum Classifier
DiscrepancyIEEE International Conference on Computer Vision (ICCV), 2019 |
 Multi-class Novelty Detection Using Mix-up TechniqueIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 |
 P-ODN: Prototype based Open Deep Network for Open Set RecognitionScientific Reports (Sci Rep), 2019 |
 Recent Advances in Open Set Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 |
 Collective decision for open set recognitionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 |
