Unsupervised Domain Adaptation with Multimodal Fusion for Monocular 3D Object Detection
This paper presents UM3D, an end-to-end unsupervised domain adaptation framework for monocular 3D object detection. Monocular 3D object detection is appealing due to its low cost, yet it suffers from limited depth cues and poor cross-domain generalization when labeled data are scarce. Existing Pseud...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2026-05-01
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| Серии: | Vehicles |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2624-8921/8/5/98 |
| Метки: |
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