- prepare a survey on multimodal vision models based on deep learning with interpretability requirements; - investigate and propose new solutions to integrate heterogeneous visual sources, overcoming the limitations of current systems; - carry out an experimental comparative study of the proposed solutions and state of the art, based on project datasets or publicly available; - write a scientific article; - write the activity report for the scholarship.
Student of an integrated higher education master's degree in electrical engineering, informatics, bioengineering, informatics or similar
Minimum profile required
- global grade average in master greater than or equal to 15 (in 20).
- experience in deep learning models; - experience in computer vision; - experience in python.
Since 27 Jan 2021 to 09 Feb 2021
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia