SA3Det++ : Side-Aware Quality Estimation for Semi-Supervised 3D Object Detection
Semi-supervised 3D object detection from point cloud aims to train a detector with a small number of labeled data and a large number of unlabeled data. Among existing methods, the pseudo-label based methods have achieved superior performance, and the core lies in how to select high-quality pseudo-la...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 11 vom: 06. Okt., Seite 10664-10679
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| 1. Verfasser: |
Yang, Wenfei
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Chuxin,
Zhang, Tianzhu,
Zhang, Yongdong,
Wu, Feng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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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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