Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types
Transfer learning enables to re-use knowledge learned on a source task to help learning a target task. A simple form of transfer learning is common in current state-of-the-art computer vision models, i.e., pre-training a model for image classification on the ILSVRC dataset, and then fine-tune on any...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 01. Dez., Seite 9298-9314
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| Auteur principal: |
Mensink, Thomas
(Auteur) |
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| Autres auteurs: |
Uijlings, Jasper,
Kuznetsova, Alina,
Gygli, Michael,
Ferrari, Vittorio |
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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 pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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