end to end joint 美 英 un.对抵接头;对接 网络平接 英汉 网络释义 un. 1. 对抵接头 2. 对接 例句
英文: Most business is done by identifying end users and joint venture partners.中文: 1多数业务通过确定最终用户及合资企业合伙人的方式进行。英文: Bonnet joint varies from flat face gasket-joint to ring-type bonnet joint, depending on class.中文: 阀盖连接方式从平面垫圈连接到环形阀盖连接,压力等级...
An end-to-end joint for joining end zones (2, 3) of body ducts comprises: a first joining member (4) and a second joining member (5) that can be associated with corresponding end zones (2, 3) of the duct to be joined and a connector (6) that can be associated with the two joi...
End-to-end joint with a flexible bellows in the case of a rear wheel drive for watercraft 来自 掌桥科研 喜欢 0 阅读量: 12 申请(专利)号: DE19782846287 申请日期: 1978-10-24 公开/公告号: DE2846287A1 公开/公告日期: 1979-08-09 申请(专利权)人: BRUNSWICK CORP ...
An joint end-to-end framework for learning with noisy labelsDeep neural networks (DNNs) have achieved excellent performance in image classification research, part of which is due to the large-scale training data with accurate annotations. However, it is expensive and time-consuming to collect such...
Joint locations定义如下式所示,其中3D joint是有上图b模型回归得到,这样能够保持joint的精度,如下图所示。 Blend skinning定义如下式所示,其中exp表示旋转矩阵,Gk表示对定点ti进行世界坐标系变换。 总结上述公式,SMPL的输入是β和θ,其中β是10维,θ是3K维,K是骨架节点数。SMPL生成6980个顶点,用M(θ,β)表示。为...
: Joint End-to-end Learning of Global and Local Image Priors for Automatic 这就是论文的目的,将一张黑白图片着色为一张彩色图片 再看这篇文章前,最好是对神经网络有了初步的了解。文章第三部分,很大篇幅在介绍神经网络的一些基础知识。演示demo 在这篇论文中,他把上述过程描述为:使用现有大量图片数据来训练...
3) To further simplify the speech synthesis pipeline, we introduced FastSpeech 2s, which abandons mel-spectrograms as an intermediate output completely and directly generates speech waveform from text during inference, enjoying the benefit of full end-to-end joint opt...
综述阅读:Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion poplyx 1 人赞同了该文章 目录 收起 文献介绍 题目:Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion 作者:TERO KARRAS,TIMO AILA,SAMULI LAINE,ANTTI HERVA,JAAKKO LEHTINEN, ...
考虑到语音频率的短时变化性,情绪在相对较长时间是不变的,可以通过约束情绪状态特征变化过快来引导网络通过音频发音特征描述短时的语音变化,而情绪特征描述长时的情绪变化。通过直接约束两帧情绪状态的变化速度为0即可达到目标: 其中 表示训练样本x时对应的情绪状态特征向量的第i个分量。为了避免网络通过增大权重,而...