Reference Twice : A Simple and Unified Baseline for Few-Shot Instance Segmentation
Few-Shot Instance Segmentation (FSIS) requires detecting and segmenting novel classes with limited support examples. Existing methods based on Region Proposal Networks (RPNs) face two issues: 1) overfitting suppresses novel class objects and 2) dual-branch models require complex spatial correlation...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 01. Nov., Seite 9221-9238
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| 1. Verfasser: |
Han, Yue
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Jiangning,
Wang, Yabiao,
Wang, Chengjie,
Liu, Yong,
Qi, Lu,
Yang, Ming-Hsuan,
Li, Xiangtai |
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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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