基于深度学习与有向无环图SVM的局部调整年龄估计

为了进一步从人脸图像中提高年龄估计的精度,提出一种基于深度学习与有向无环图支持向量机(SVM)的局部调整年龄估计算法.在训练阶段,首先将经过VGGFace2数据集预训练的SE-ResNet-50网络进行微调,并在收敛时提取全连接层,将其首尾相连形成的向量作为表征并训练得到多个one-versus-oneSVM;在测试阶...

Locally adjusted age estimation based on deep learning and directed acyclic graph SVM

In order to further enhance the accuracy of age estimation,we proposed a locally adjusted age estimation algorithm based on deep learning and directed acyclic graph-support vector machine(SVM).In the training phase,the SE-ResNet-50 network,pre-trained on the VGGFace2 data set,was first fine-tuned.When it converged,the fully connected layer was extracted,and the vector formed by its end-to-end connection was employed as a representation and further trained multiple one-versus-one SVM.In the testing phase,we first sent the face image into SE-ResNet-50 to obtain a rough age result,then set the specific neighborhood,finally integrated the trained SVM into a directed acyclic graph SVM,and conducted accurate age estimation centering on the global estimation value.In order to show the universality of the algorithm,the results of experiments undertaken in MORPH and AFAD datasets of different races can verify the effectiveness of the algorithm.