Discovery Early Career Researcher Award - Grant ID: DE200101283

Funding Activity

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Funded Activity Summary

Data synthesis to quantitatively understand and improve vision systems. This project aims to build high-fidelity synthetic data, to understand how a machine vision system reacts to environmental factors and consequently improve the ability of the system to generalise in the real world. This project expects to generate new knowledge in the area of computer vision using innovative techniques of data synthesis, analysis, and domain adaptation. The expected outcomes include new scientific discoveries and domain adaptation algorithms derived from synthetic data for real-world applications. The benefits are expected to be widespread across sectors such as transportation, security, and manufacturing, including safer robotic navigation, defect detection, and smart video surveillance to improve community safety.

Funded Activity Details

Start Date: 01-01-2020

End Date: 31-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $400,998.00

Funder: Australian Research Council