- Collaborate on a survey on the state of the art on equivariance in deep learning; - Implement deep learning models equivariant to rotation and scale for feature extraction; - Compare the accuracy of different implemented solutions; - Write the final activity report.
Degree in Bioengeneering, Electrical Engineering, Informatics, Computer Science or similar
Minimum profile required
Minimum graduation grade of 12 values.Previous experience in biometrics and deep learning;
Knowledge in programming (ex: python);
Since 02 Dec 2021 to 16 Dec 2021
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia