OoDAnalyzer : Interactive Analysis of Out-of-Distribution Samples
One major cause of performance degradation in predictive models is that the test samples are not well covered by the training data. Such not well-represented samples are called OoD samples. In this article, we propose OoDAnalyzer, a visual analysis approach for interactively identifying OoD samples...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 7 vom: 12. Juli, Seite 3335-3349
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| Auteur principal: |
Chen, Changjian
(Auteur) |
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| Autres auteurs: |
Yuan, Jun,
Lu, Yafeng,
Liu, Yang,
Su, Hang,
Yuan, Songtao,
Liu, Shixia |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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