Automatic Machine Learning with Imperfect Data for Video Analysis

用于视频分析的不完美数据的自动机器学习

• 批准号: DP200100938
• 负责人: Prof Yi Yang
• 金额: $ 34.12万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-01 至 2025-03-01
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200100938
• 关键词: Automatic; Machine; Learning; Imperfect; Data

This project aims to propose new algorithms and technologies for constructing an efficient video analysis system, which will be aligned with Australia’s science and research priorities. Specifically, during this project, a novel network structure search method based on auto machine learning will be proposed, an unsupervised domain adaptation algorithm will be developed, and a generative data augmentation method will be constructed. All of these will construct a stable and efficient deep neural network, which is able to process large size videos captured from real scenarios in high efficiencies. Various fields, such as health care service and cybersecurity, will benefit hugely from this project.

该项目旨在为构建高效的视频分析系统提出新的算法和技术，这将与澳大利亚的科学和研究优先事项保持一致。具体地说，在该项目中，将提出一种基于自动机器学习的新型网络结构搜索方法，开发一种无监督的领域自适应算法，并构建一种产生式数据扩充方法。所有这些都将构建一个稳定高效的深度神经网络，能够高效地处理从真实场景中捕获的大尺寸视频。医疗服务和网络安全等各个领域都将从这一项目中受益匪浅。