DR-GAN:Disentangled Representation Learning GAN for Pose-Invariant Face Recognition论文解读 的人脸特征是不具有姿势信息的,通过给decoder提供姿态编码和判别器的姿态估计来实现。 网络模型DR-GAN的输入有三个,x,pose code,和noise z。x是输入图像,经过encoder...FaceID-GAN论文解读 摘要 在人脸识别领域,两张脸...
We presented scDisInFact, a deep learning framework that models multi-batch multi-condition scRNA-seq datasets. scDisInFact is a unified framework for three prominent tasks in disease studies: (1) the disentanglement of biological factors and removal of batch effect, (2) detection of condition-as...
Data representation is a crucial and long-standing issue in machine learning, as it has a significant impact on model performance [1]. For that reason, much of the actual efforts in the machine learning community have been toward representation learning [2,3,4,5]. Representation learning refers...
Data representation is a crucial and long-standing issue in machine learning, as it has a significant impact on model performance [1]. For that reason, much of the actual efforts in the machine learning community have been toward representation learning [2,3,4,5]. Representation learning refers...