AGDF-Net : Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion
Cross-domain generalizable depth estimation aims to estimate the depth of target domains (i.e., real-world) using models trained on the source domains (i.e., synthetic). Previous methods mainly use additional real-world domain datasets to extract depth specific information for cross-domain generaliz...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 5 vom: 12. Mai, Seite 3137-3155
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| Auteur principal: |
Liu, Lina
(Auteur) |
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| Autres auteurs: |
Song, Xibin,
Wang, Mengmeng,
Dai, Yuchao,
Liu, Yong,
Zhang, Liangjun |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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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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