Discovery Early Career Researcher Award - Grant ID: DE170101259

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DE170101259

Funding Status
Closed

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Funded Activity Summary

Zero-shot and few-shot learning with deep knowledge transfer. This project aims to develop few-shot and zero-shot learning, visual recognition techniques that can learn a visual concept with few or no visual examples. Visual recognition is a major component in Artificial Intelligence and used in cybernetic security, robotic vision and medical image analysis. This project will use deep learning to enable the zero/few-shot learning to use and model previously unexplored information, making zero/few-shot learning more practical, scalable and flexible. The project is expected to advance the applicability of visual recognition in many challenging scenarios and provide effective tools to analyse the online visual data for supporting Australia’s cybernetic security.

Funded Activity Details

Start Date: 2017

End Date: 12-2021

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $360,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Computer Software and Services not elsewhere classified |

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