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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | 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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| 1. Verfasser: |
Xin, Zhimeng
(VerfasserIn) |
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| Weitere Verfasser: |
Wu, Tianxu,
Chen, Shiming,
Zou, Yixiong,
Shao, Ling,
You, Xinge |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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