Deep visual understanding: learning to see in an unruly world

深刻的视觉理解：学会在不规则的世界中观察

• 批准号: DP180103023
• 负责人: Prof Anton van den Hengel
• 金额: $ 29.6万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-06-30 至 2021-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180103023
• 关键词: Deep; visual; understanding; learning; see

Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.

最近，深度学习在各种各样的计算机视觉任务中取得了令人难以置信的成功。该项目旨在将这一成功传达到具有挑战性的高级基于图像的推理领域。它将扩展深度学习，根据从互联网上大量可用数据中收集的信息，实现对图像内容的灵活语义推理。该项目预计将克服深度学习的主要局限性之一，并将大大增加其在工业、文化或健康环境中的实际应用。