4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 4 cited
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi +4
We aim for image-based novelty detection. Despite considerable progress, existing models either fail or face a dramatic drop under the so-called "near-distribution" setting, where…
cs.CV2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks +3
Machine learning models often encounter samples that are diverged from the training distribution. Failure to recognize an out-of-distribution (OOD) sample, and consequently assign…