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Grant Award View - GA188748-V4
AUSLearn: AUtomated Sample Learning for Object Recognition
GA ID:
GA188748-V4
Agency:
Australian Research Council
Approval Date:
8-Sep-2021
Variation Publish Date:
27-Jul-2022
Variation Date:
27-Jul-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
30-Jun-2022 to 30-Jun-2026
Value (AUD):
$0.00
(GST inclusive where applicable)
Varies:
GA188748
- AUSLearn: AUtomated Sample Learning for Object Recognition
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
AUSLearn: AUtomated Sample Learning for Object Recognition
Purpose:
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.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2021
Internal Reference ID:
FT21 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