What is the translation of " VISUAL FEATURES " in Chinese?

• 的视觉特征

Examples of using Visual features in English and their translations into Chinese

Visual features of this design strategy include:.
这种设计策略的视觉特征包括：.

The screenshots showcased two of the more interesting visual features of the game.
这次截图展示了游戏中两个有趣的视觉特征。

VPS uses the visual features of the environment to provide a precise location.
VPS使用环境的视觉特征来提供精确的位置。

Color features are the most widely used visual features in image retrieval.
颜色特征是图像检索中应用最为广泛的视觉特征。

The first stage actually lies outside brain, in the retina, which can detect simple visual features.
第一阶段实际上位于视网膜的大脑外部，可以检测到简单的视觉特征。

When driving, the system extracts visual features from the camera, which enables it to predict road structures.
驾驶时，系统从摄像机中提取视觉特征，使其能够预测道路结构。

Traditional approaches separated the problem into two stages: designing or learning visual features, and prediction.
传统的方法是将该问题分成两步解决：设计或学习视觉特征、以及预测。

The visual features are used to"focus" the audio on desired speakers in a scene and to improve the speech separation quality.
视觉特征用于将音频“聚焦”在场景中的所需扬声器上并提高音频分离质量。

Traditional approaches separated the problem into two stages: designing or learning visual features, and prediction.
传统的方法把这一问题的解决分为两个步骤：设计或者学习视觉特征，然后是预测。

Friendly visual features could be described as positive, while unfriendly visual features could be described as negative.
友好的视觉特征可以描述为积极的，而不友好的视觉特征可以描述为消极的。

The traditional approach is to divide the problem into two steps: designing or learning visual features, and forecasting.
传统的方法是将该问题分成两步解决：设计或学习视觉特征、以及预测。

This effect seems to hold for many basic visual features, indicating that this‘filling in' is a general, and fundamental, perceptual mechanism.”.
这种作用似乎适用于许多基本视觉特征，这表明这种“填充”是一般和基本的感知机制。

Our work in many ways is bringing attention to the importance of physical elements, particularly the visual features.”.
我们的工作经常能让我们注意到物理环境的重要性，特别是视觉特征带来的影响。

Almost every element on a styled Web page has different visual features(i.e.“skins”) that are repeated in different contexts.
几乎每一个元素风格的网页上有不同的视觉特征（即“皮”），在不同的上下文中重复。

Schyns said the study revealed how the brain tuned into different brainwave patterns to code different visual features.
许恩斯教授表示这项研究解释了大脑是如何转化为不同的脑波模式，从而编码不同的视觉特征。

He argues that this approach may roughly approximate the way our own brains“extract visual features that are relevant for a particular kind of task.”.
他认为这种方法大致可以近似于人类大脑「提取与特定任务相关的视觉特征」的方式。

Smart cars: Vision is still the primary source of information for detecting traffic signs and lights and other visual features.
智能汽车：计算机视觉仍然是检测交通标志、灯光和其他视觉特征的主要信息来源。

By using reverse image search, Pinterest is able to extract visual features from fashion objects and offer product recommendations that look similar.
逆图像搜索让Pinterest获得了时尚品的视觉特征，并可以显示相似产品的推荐。

The traditional approach is to divide the problem into two steps: designing or learning visual features, and forecasting.
传统的方法把这一问题的解决分为两个步骤：设计或者学习视觉特征，然后是预测。

Sarah Jacobs, an associate visual features editor, refuses to recycle her 2007 iPhone and was using it up until just a couple of years ago.
国外一家科技网站的助理视觉特征编辑SarahJacobs不愿回收她的初代iPhone，而且在几年前还在使用它。

Under Australian law, for example, design protection is available- but it is limited to the visual features of products“at rest.”.
例如，根据澳大利亚法律，外观设计保护是有效的，但仅限于“静态”产品的视觉特征。

They said:“Our vision system, which uses both high-level and low level visual features, is significantly better at predicting deception compared to humans.”.
研究人员说:“我们的视觉系统使用了高级和低级两种视觉特征，相比人类，能够更好的预测谎言。

However, this mixing was not random- boutons in a cluster tended to share a common sensitivity to one or more visual features.
然而，这种混合并不是随机的---局部簇中的终末扣往往对一个或多个视觉特征具有相同的敏感性。

More importantly, though, through an automated application it is possible to incorporate visual features that facilitate the use and comprehension of the system.
更为重要的是，可以通过一个自动应用程序来纳入直观特色，以便于该制度的使用和理解。

However, this mixing was not random- boutons in a cluster tended to share a common sensitivity to one or more visual features.
但是这种混合并不是随机的，神经簇中的boutons大多对一个或多个视觉特征具有共同的敏感性。

At GOAT, we use artificial neural networks to approximate the most-telling visual features from our product catalogue i.e. latent factors of variation.
我们在GOAT使用人工神经网络近似估算产品目录中最明显的视觉特性，即隐变异因子（latentfactorsofvariation）。

Imagine Google Earth injected with AI capabilities, scanning geographical regions for specific visual features and patterns.
想象一下，赋予了人工智能能力的GoogleEarth，正根据特定的视觉特征和模式寻找相应的地理区域。

The researchers claimed that their“vision system, which uses both high-level and low level visual features, is significantly better at predicting deception compared to humans.”.
研究人员说:“我们的视觉系统同时使用了高层次和低层次的视觉特征，比人类更擅长预测欺骗。

LipNet is the first end-to-end sentence-level deep lipreading model that simultaneously learns spatiotemporal visual features and a sequence model.
据我们所知，LipNet是首个端到端的句子级别的唇语阅读模型，能同步地学习时空的视觉特征和一个序列模型。

The researchers claimed that their“vision system, which uses both high-level and low level visual features, is significantly better at predicting deception compared to humans.”.
研究人员说:“我们的视觉系统使用了高级和低级两种视觉特征，相比人类，能够更好的预测谎言。