Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics

Research article (2018) · cited 12× · AI/ML
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Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics

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Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-out-of-distribution-samples-using-low-order-deep-features-statistics
MLA “Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-out-of-distribution-samples-using-low-order-deep-features-statistics.
BibTeX @misc{4ortxyz_detecting-out-of-distribution-samples-using-low-order-deep-features-statistics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-out-of-distribution-samples-using-low-order-deep-features-statistics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics — https://4ort.xyz/entity/detecting-out-of-distribution-samples-using-low-order-deep-features-statistics (retrieved 2026-05-24)

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