Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP210102801]Researchers: Dr Liang Zheng (Chief Investigator) , Prof Tamás (Tom) Gedeon (Chief Investigator) , Piotr Koniusz (Partner Investigator) , Prof Ponnuthurai Suganthan (Partner Investigator) , The Australian National University (Managed by)
Brief description 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.
Funding Amount $506,671
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP210102801
- ARC : DP210102801