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相关概念视频

Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Empathy02:34

Empathy

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Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

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Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
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Non-Verbal Cues01:29

Non-Verbal Cues

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Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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多视角交叉模态对象编码用于引用表达式理解.

Jingcheng Ke, Jie Wen, Huiting Wang

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    此摘要是机器生成的。

    本研究引入了新的模块,通过更好地将文本描述与图像对象连接起来,提高引用表达式理解 (REC). 新方法通过考虑上下文关系来增强对象识别,从而在REC任务中获得更准确的结果.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 自然语言处理自然语言处理.
    • 人工智能的人工智能

    背景情况:

    • 引用表达式理解 (REC) 对于使用文本识别图像中的对象至关重要. 现有的两阶段REC方法往往忽略了对象上下文,限制了表示的准确性.
    • 目前的方法依赖于预先训练的探测器,忽视了对象及其周围环境之间的关键上下文和关系信息.

    研究的目的:

    • 通过引入新型模块来增强双阶段引用表达式理解 (REC) 方法.
    • 通过结合上下文和关系信息来提高对象表示的区分能力.

    主要方法:

    • 提出了两个插入和适应模块:表达式引导标签表示 (ELR) 和跨模态校准语义 (CCS) 模块.
    • ELR模块将文本表达式名词短语与图像对象标签对齐.
    • CCS模块从多个角度将对象特征与邻近的对象特征集成,保存内在信息并结合关系线索.

    主要成果:

    • 拟议的模块显著加强了图像和文本表示之间的对齐.
    • 六个数据集的实验证明了结合先前的统计知识的有效性.
    • 该方法实现了竞争性性能,并且与现有的两阶段REC方法兼容.

    结论:

    • 新的ELR和CCS模块通过捕获关键的上下文和关系信息,有效地增强了两阶段REC方法.
    • 整合先前的统计知识和跨模式校准,可以实现更精确的对象嵌入,并提高REC性能.
    • 拟议的方法为现有的REC框架提供了多功能增强.