SC-RPN : A Strong Correlation Learning Framework for Region Proposal
Current state-of-the-art two-stage detectors heavily rely on region proposals to guide the accurate detection for objects. In previous region proposal approaches, the interaction between different functional modules is correlated weakly, which limits or decreases the performance of region proposal a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 12., Seite 4084-4098
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| 1. Verfasser: |
Zou, Wenbin
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Zhengyu,
Peng, Yingqing,
Xiang, Canqun,
Tian, Shishun,
Zhang, Lu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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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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