DN-DETR : Accelerate DETR Training by Introducing Query DeNoising
We present in this paper a novel denoising training method to speed up DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods. We show that the slow convergence results from the instability of bipartite graph matching which causes...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 4 vom: 29. Apr., Seite 2239-2251
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| 1. Verfasser: |
Li, Feng
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Hao,
Liu, Shilong,
Guo, Jian,
Ni, Lionel M,
Zhang, Lei |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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