机译:使用对称相对熵的深度监督散列
Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Sch Comp Sci & Engn Jiangxi Res Inst State Key Lab Software Dev Envir Beijing Peoples R China;
Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Sch Comp Sci & Engn Jiangxi Res Inst State Key Lab Software Dev Envir Beijing Peoples R China;
Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Sch Comp Sci & Engn Jiangxi Res Inst State Key Lab Software Dev Envir Beijing Peoples R China;
Captial Med Univ XuanWu Hosp Dept Anesthesiol Beijing Peoples R China;
Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Sch Comp Sci & Engn Jiangxi Res Inst State Key Lab Software Dev Envir Beijing Peoples R China;
Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Sch Comp Sci & Engn Jiangxi Res Inst State Key Lab Software Dev Envir Beijing Peoples R China|Univ York Dept Comp Sci York N Yorkshire England;
Image retrieval; Hashing; Symmetric relative entropy;
机译:使用对称相对熵的深度监督哈希
机译:与联合深网络监督深度散列
机译:基于深神经网络的联合监督损失三联散散
机译:哈希学习:具有数据选择功能的深度监督哈希框架
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:使用对称相对熵的深度监督散列