Generalizable stereo depth estimation with masked image modelling
Abstract Generalizable and accurate stereo depth estimation is vital for 3D reconstruction, especially in surgery. Supervised learning methods obtain best performance however, limited ground truth data for surgical scenes limits generalizability. Self‐supervised methods don't need ground truth, but...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2024-04-01
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| coleção: | Healthcare Technology Letters |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1049/htl2.12067 |
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