机译:多模式多尺度深度学习的大规模图像标注
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China;
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China;
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China;
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.;
Department of Electrical Engineering, Columbia University, New York, NY, USA;
Image annotation; Feature extraction; Visualization; Task analysis; Noise measurement; Image recognition; Predictive models;
机译:基于多模态多概念的深度神经网络用于图像自动标注
机译:具有图像文本混合学习模型的大规模图像注释
机译:应用于基于内容的信息检索和图像分类的大规模多模态距离度量学习
机译:基于深度学习和多尺度显着性的大规模高分辨率高分辨率合成孔径雷达图像目标检索
机译:基于多模式特征聚类和相似度传播的图像标注和检索。
机译:具有多尺度深度加强学习的大规模定量成像数据库:全身器官体积分析的初始经验
机译:使用大规模数据注释和深度学习的人力水平绩效的组织图像的全细胞分割