Canada Research Chair In Computer Vision And Machine Learning

加拿大计算机视觉和机器学习研究主席

• 批准号: CRC-2017-00182
• 负责人: Sigal, Leonid
• 金额: $ 8.74万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730091
• 关键词: Canada; Research; Chair; Computer; Vision

The proposed research is in computer vision, a field that studies the use of computers to automatically perceive and understand visual content in order to make predictions or help make decisions. A key component of vision is learning, allowing acquisition of sophisticated models of the visual world from large image/video corpora. This program focuses on developing, implementing and evaluating novel approaches for semantic visual understanding at scale. The program will address fundamental challenges, including learning from limited and multi-modal data (e.g., images + descriptive text), by developing novel neural architectures endowed with memory, semantics and structured learning objectives.

拟议中的研究属于计算机视觉，这是一个研究使用计算机自动感知和理解视觉内容以做出预测或帮助做出决策的领域。视觉的一个关键组成部分是学习，允许从大型图像/视频语料库中获取视觉世界的复杂模型。该计划侧重于开发，实施和评估大规模语义视觉理解的新方法。该项目将通过开发具有记忆、语义和结构化学习目标的新型神经结构，解决基本挑战，包括从有限和多模态数据（例如，图像+描述性文本）中学习。