Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming dense point cloud annotations. To alleviate the annotation cost, unlabeled or weakly labeled data is still less explored...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 03. Dez., Seite 10159-10170
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| Auteur principal: |
Liao, Yongbin
(Auteur) |
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| Autres auteurs: |
Zhu, Hongyuan,
Zhang, Yanggang,
Ye, Chuangguan,
Chen, Tao,
Fan, Jiayuan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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