Discovery Projects - Grant ID: DP210102801

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210102801

Funding Status
Active

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Funded Activity Summary

Automatic Training Data Search and Model Evaluation by Measuring Domain Gap. We aim to investigate computer vision training data and test data, using automatically generated data sets for facial expression recognition and object re-identification. This project expects to quantify and understand the domain gap, the distribution difference between training and test data sets. Expected outcomes of this project are insights on measuring the domain gap, the ability to estimate model performance without accessing expensive test labels and improvements to system generalisation. This should provide significant benefits for computer vision applications that currently require expensive labelling, and commercial and economic benefits across sectors such as transportation, security and manufacturing.

Funded Activity Details

Start Date: 11-12-2021

End Date: 10-12-2024

Funding Scheme: Discovery Projects

Funding Amount: $506,671.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neurocognitive Patterns and Neural Networks | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Application Software Packages (excl. Computer Games) | Artificial Intelligence and Image Processing | Computer Vision | Information Processing Services (incl. Data Entry and Capture) | Neurocognitive Patterns and Neural Networks

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