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2 Results for: Author: Deng, Ling
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- research-articleOctober 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 1981–1990https://doi.org/10.1145/3664647.3681309Out-of-Distribution (OOD) detection is crucial when deploying machine learning models in open-world applications. The core challenge in OOD detection is mitigating the model's overconfidence on OOD data. While recent methods using auxiliary outlier ...