Discovery Projects - Grant ID: DP200102252

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200102252

Funding Status
Active

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Funded Activity Summary

Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection accuracy and advances in deep learning network architecture for image parsing. The intended outcomes are deep learning network architecture, contextual feature extraction techniques and network parameter optimisation techniques for image parsing.

Funded Activity Details

Start Date: 2020

End Date: 07-2024

Funding Scheme: Discovery Projects

Funding Amount: $480,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Application Tools and System Utilities |

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