Diagnosing Ensemble Few-Shot Classifiers
The base learners and labeled samples (shots) in an ensemble few-shot classifier greatly affect the model performance. When the performance is not satisfactory, it is usually difficult to understand the underlying causes and make improvements. To tackle this issue, we propose a visual analysis metho...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 9 vom: 14. Sept., Seite 3292-3306
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| Auteur principal: |
Yang, Weikai
(Auteur) |
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| Autres auteurs: |
Ye, Xi,
Zhang, Xingxing,
Xiao, Lanxi,
Xia, Jiazhi,
Wang, Zhongyuan,
Zhu, Jun,
Pfister, Hanspeter,
Liu, Shixia |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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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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