ECEA : Extensible Co-Existing Attention for Few-Shot Object Detection
Few-shot object detection (FSOD) identifies objects from extremely few annotated samples. Most existing FSOD methods, recently, apply the two-stage learning paradigm, which transfers the knowledge learned from abundant base classes to assist the few-shot detectors by learning the global features. Ho...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 14., Seite 5564-5576
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| Auteur principal: |
Xin, Zhimeng
(Auteur) |
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| Autres auteurs: |
Wu, Tianxu,
Chen, Shiming,
Zou, Yixiong,
Shao, Ling,
You, Xinge |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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