CO-Net++ : A Cohesive Network for Multiple Point Cloud Tasks at Once With Two-Stage Feature Rectification
We present CO-Net++, a cohesive framework that optimizes multiple point cloud tasks collectively across heterogeneous dataset domains with a two-stage feature rectification strategy. The core of CO-Net++ lies in optimizing task-shared parameters to capture universal features across various tasks whi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 01. Nov., Seite 10911-10928
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| 1. Verfasser: |
Xie, Tao
(VerfasserIn) |
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| Weitere Verfasser: |
Dai, Kun,
Sun, Qihao,
Jiang, Zhiqiang,
Cao, Chuqing,
Zhao, Lijun,
Wang, Ke,
Li, Ruifeng |
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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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