Uncertainty estimation for 3D semantic segmentation : MoCa: Uncertainty estimation through Monte Carlo augmentations for 3D unsupervised domain adaptation

Aleman, Mihnea-Ioan

doi:10.34726/hss.2025.128225

Record link:

https://doi.org/10.34726/hss.2025.128225
http://hdl.handle.net/20.500.12708/225176

Title:

Uncertainty estimation for 3D semantic segmentation : MoCa: Uncertainty estimation through Monte Carlo augmentations for 3D unsupervised domain adaptation

Citation:

Aleman, M.-I. (2025). Uncertainty estimation for 3D semantic segmentation : MoCa: Uncertainty estimation through Monte Carlo augmentations for 3D unsupervised domain adaptation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128225

reposiTUm DOI:

10.34726/hss.2025.128225

CatalogPlus:

AC17754589

Publication Type:

Thesis - Diplomarbeit

Language:

English

Authors:

Aleman, Mihnea-Ioan

Advisor:

Hermosilla Casajus, Pedro