机译:基于CNN的孵化蛋分类,基于CNN和频道加权和联合监督
School of Electronics and Information Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
School of Electronics and Information Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
School of Electronics and Information Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
School of Electronics and Information Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
School of Electronics and Information Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
School of Computing Engineering Tianjin Polytechnic University NO. 399 Binshui West Street Xiqing District Tianjin 300387 China;
CNN; Channel weighting; Joint supervision; Hatching eggs; Center loss;
机译:基于联合多尺度特征的3D对象分类的新体积CNN,Supvolume监督学习方法
机译:皮肤病变分类使用CNNS采用基于补丁的注意力和诊断引导损失加权
机译:基于概念的单级SVM分类器,具有监督术语加权方案,用于不平衡情绪分类
机译:基于EEG的跨学科睡眠质量评估的联合半监督特征自动加权和分类模型
机译:夏威夷树种类的无人机图像:MLC,RF和CNN监督分类的比较
机译:基于三通道振动图像的自我监督联合学习故障诊断方法
机译:皮肤病变分类使用CNNS采用基于补丁的注意力和诊断引导损失加权