Log in to save to my catalogue

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2823798752

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

About this item

Full title

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

Subjects

Subjects and topics

More information

Scope and Contents

Contents

We demonstrate that L2 normalization over feature space can produce capable performance for Out-of-Distribution (OoD) detection for some models and datasets. Although it does not demonstrate outright state-of-the-art performance, this method is notable for its extreme simplicity: it requires only two addition lines of code, and does not need specia...

Alternative Titles

Full title

Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2823798752

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2823798752

Other Identifiers

E-ISSN

2331-8422

How to access this item