Efficient evolutionary neural architecture search for human face and shape recognition

Start date

January 2020

End date

December 2022

Summary

This project aims to research computationally efficient, scalable, and powerful neural architecture search methods that are able to automatically generate deep neural network models best suited for a given problem at hand, in particular for human face and shape recognition.

Funding amount

£119,802

Funder

Shanghai Ulucu Electronics Technology

Team

Principal investigator

Professor Yaochu Jin

Distinguished Chair, Head of the NICE Group, Director of Research

See profile