Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China;
Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China;
Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, China;
Binary codes; Image coding; Semantics; Encoding; Training; Optimization; Image retrieval;
机译:深度监督离散散列的一般框架
机译:通过监督深度离散矩阵分解的跨视线散列
机译:与联合深网络监督深度散列
机译:具有自我监督的成对标签的深度离散散列
机译:学习具有深度散列技术的有效二进制表示,用于大规模多媒体相似性搜索
机译:基于深度神经网络的三联体深度哈希联合监督损失
机译:具有自我监督的成对标签的深度离散哈希
机译:当融合二值有限特征时,监督离散贝叶斯分类中的期望增益最大化