A Survey of Self-Supervised and Few-Shot Object Detection
Labeling data is often expensive and time-consuming, especially for tasks such as object detection and instance segmentation, which require dense labeling of the image. While few-shot object detection is about training a model on novel (unseen) object classes with little data, it still requires prio...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 29. Apr., Seite 4071-4089
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| Auteur principal: |
Huang, Gabriel
(Auteur) |
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| Autres auteurs: |
Laradji, Issam,
Vazquez, David,
Lacoste-Julien, Simon,
Rodriguez, Pau |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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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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