Deep Learning in Mars Exploration/Navigation: Rover Multi-Task Learning and Drone Semantic Segmentation on Synthetic and Real Datasets with Domain Adaptation Techniques - WebThesis

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Deep Learning in Mars Exploration/Navigation: Rover Multi-Task Learning and Drone Semantic Segmentation on Synthetic and Real Datasets with Domain Adaptation Techniques

Mirakram Aghalarov

Deep Learning in Mars Exploration/Navigation: Rover Multi-Task Learning and Drone Semantic Segmentation on Synthetic and Real Datasets with Domain Adaptation Techniques.

Rel. Marcello Chiaberge. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

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Relators

Marcello Chiaberge

Academic year

2022/23

Publication type

Electronic

Number of Pages

65

Course of studies

Master of science program in Data Science And Engineering

Classe di laurea

New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING

Aziende collaboratrici

AIKO S.R.L.

URI

https://webthesis.biblio.polito.it/id/eprint/25351

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