ActiveZero++ : Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation
Learning-based stereo methods usually require a large scale dataset with depth, however obtaining accurate depth in the real domain is difficult, but groundtruth depth is readily available in the simulation domain. In this article we propose a new framework, ActiveZero++, which is a mixed domain lea...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 15. Dez., Seite 14098-14113
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| Auteur principal: |
Chen, Rui
(Auteur) |
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| Autres auteurs: |
Liu, Isabella,
Yang, Edward,
Tao, Jianyu,
Zhang, Xiaoshuai,
Ran, Qing,
Liu, Zhu,
Xu, Jing,
Su, Hao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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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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