Whensuitable methods are used, deep learning models can be cheap to tune and can scale affordably to problems involving millions or billions of data points.. The review is accompanied by a companion ...

Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs ... In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain ...

简介：Google家在SimCLR自监督对比学习（contrastive learning）的loss结构基础上 ... 相比于无监督的模式（SimCLR）的做法。 需要一个encoder network，将image raw features映射为一个向量。比如图像中使用的是 ...

Despite significant advances in deep learning ... architecture allows the network to effectively utilize the high-resolution geometry from the defective model and the low-resolution framework from the ...

As one of the popular deep learning methods ... of generalization of the framework encoder. We will delve into the technical details in this section. Figure 1. The diagram of the 3DTU framework in an ...