ARC Future Fellowships - Grant ID: FT210100228

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT210100228

Funding Status
Active

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Funded Activity Summary

AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.

Funded Activity Details

Start Date: 30-06-2022

End Date: 30-06-2026

Funding Scheme: ARC Future Fellowships

Funding Amount: $955,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Road Safety | Nervous System and Disorders | Neurodegenerative Disorders Related to Ageing |

Other Keywords

Artificial Intelligence and Image Processing | Computer Vision | Nervous System and Disorders | Neurodegenerative Disorders Related to Ageing | Road Safety

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