attention mechanism

Human eyes can extract effective information quickly from complex scenes, thanks to a selective visual attention mechanism in human visual system.

科学研究发现，人类的视觉系统存在一种选择性视觉注意机制，能够帮助人们在面对纷繁复杂的场景时快速提取有效的信息。

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Wavelet-based primal vision model with selective attention mechanism

基于小波的具有选择性注意力机制的初级视觉模型

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An intelligent infrared imaging guidance scheme is proposed, the basic frame and particular model of primary vision with selective attention mechanism are given.

给出了一种基于侧抑制网络图像处理的智能化红外成像制导方案；

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Research for the Selective Attention Mechanism in the Image Information Processing

图像信息处理中的选择性注意机制研究

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Qualification of Choosing the Best Instaneous Attention Mechanism While the Football Player is Passing the Ball

足球运动员传球瞬间注意机制的择优性

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The high efficiency of human eye's information obtain comes from its attention mechanism.

人眼的注意力机制保证了人眼信息获取的高效性。

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A Computational Model of Visual Selective Attention Mechanism and Its Application in Object Recognition

视觉选择性注意机制计算模型及其在物体识别中的应用

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Object Salience Detection Based on Visual Attention Mechanism

基于视觉注意机制的物体显著性研究

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Parallelization of attention mechanism in Real-time infrared ship detection

红外舰船检测中注意力机制的并行实现

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Model of Visual Selective Attention Mechanism Deployed by Scale and Features

尺度与特征引导视觉选择性注意机制模型

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Using visual attention mechanism, people can extract useful information quickly, response to the environment timely and effectively.

利用视觉注意机制，人们能从海量的视觉信息中快速提取有用信息，及时有效的对外界环境做出反应。

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Multiresolution Edge Detection Based on Nonuniform Sampling and Selective Attention Mechanism

基于非均匀采样及选择注意机制的多分辨率边缘检测

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Attention mechanism and short-time memory are not involved in the process.

该过程不涉及注意机制和短时记忆。

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A method of salient region extraction based on attention mechanism is designed.

设计一种基于注意力机制的视频显著区域提取方法，并设计了基于注意力机制的视频显著区域提取系统的流程和框架。

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Detection of small target in infrared image sequences based on attention mechanism

基于视觉注意机制的红外图像小目标检测方法

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Researchers in different fields have already done numerous works in selective attention mechanism and have put forward a series of theory and model.

各领域的研究者针对选择性注意机制进行了大量的研究，并提出了一系列的理论和模型。

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If we use the visual attention mechanism on processing with the machine visual, it will bring huge benefits for human work and life.

将视觉注意机制应用到机器视觉处理上来，会给人类的工作和生活带来巨大的好处。

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A visual attention mechanism model for discrete nonlinear sampling is studied to analyze its detection probability during pre-detecting small targets.

针对一种使用了离散非线性采样的视觉注意机制模型，对其应用在小目标预检测上的检测概率进行了研究和分析。

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Visual attention mechanism is the unique human physiological characteristics. It plays an important role between humans and external environment of understanding.

视觉注意机制是人类特有的生理特性，它在人类与外界环境的认识上起着重要的沟通桥梁的作用。

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Contour Perception of Saliency Object Based on Visual Attention Mechanism

基于视觉注意机制的显著物体轮廓感知

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A Visual Computing Model Based on Attention Mechanism Vision

一种引入注意机制的视觉计算模型

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This attribute and attention mechanism enables human vision system predominant in information processing.

这种特征和注意力机制确保了人类视觉系统在信息处理方面的优先性。

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Research on Visual Selective Attention Mechanism and Its Application on Image Compression

视觉选择性注意机制的研究及其在图像压缩中的应用

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Location-based and object-based attention mechanism acted in an independent way.

空间因素和物体因素的作用是独立的。

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Application of Vision Attention Mechanism in Vibration Signal Processing

视觉的选择性注意力机制在振动信号处理中的应用研究

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Analysis for Attention Mechanism in Real-time IR Small Target Pre-detection

实时红外小目标预检测中注意机制分析

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Based on Attention Mechanism Recognize Moving Target Research

基于注意机制的运动目标识别的研究

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These two kinds of influences are called bottom-up and top-down factors in the research of visual attention mechanism.

在视觉注意机制中，这两类因素分别被称为自底向上信息和自顶向下信息。

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Integrated with attention mechanism, the first level where information can motivate top-down attention and provide guidance for object perception.

与注意机制相结合，一级where信息可以用来驱动自顶向下的注意，处理大范围环境空间信息，为目标感知提供指导。

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Extracting regions of interest in medical images based on visual attention mechanism

基于视觉注意的医学图像感兴趣区域提取

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