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Grant Award View - GA68368

Personalised Learning for Per-pixel Prediction Tasks in Image Analysis

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

:

GA ID:
GA68368
Agency:
Australian Research Council
Approval Date:
19-Dec-2019
Publish Date:
6-Jan-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jun-2020 to 30-May-2024
Original: 1-Jan-2020 to 31-Dec-2022
Value (AUD):
$396,000.00 (GST inclusive where applicable)
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis
Purpose:
AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.

GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464

Grant Recipient Location

Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: