End-to-End Out-of-distribution Detection with Self-supervised Sampling

S Pei, J Sun, P Qin, Q Chen, X Wu, X Wang - arXiv preprint arXiv …, 2023 - arxiv.org
Out-of-distribution (OOD) detection empowers the model trained on the closed set to identify
unknown data in the open world. Though many prior techniques have yielded considerable …

Free Lunch for Generating Effective Outlier Supervision

S Pei, J Sun, RY Da Xu, B Fan, S Xiang… - arXiv preprint arXiv …, 2023 - arxiv.org
When deployed in practical applications, computer vision systems will encounter numerous
unexpected images (\emph {{ie}}, out-of-distribution data). Due to the potentially raised …

[PDF][PDF] Learning Strategies for Parkinson's Disease Severity Assessment

A Dadashzadeh - 2024 - research-information.bris.ac.uk
Parkinson's disease (PD) is a common neurodegenerative disorder that affects millions of
people worldwide. Current clinical assessments of PD symptoms require trained raters and …

[引用][C] Benchmarking Tracking Robustness to Corruptions

J Yang, Z Li, M Chen, F Zheng, A Leonardis