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相关概念视频

Associative Learning01:27

Associative Learning

461
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
461
Observational Learning01:12

Observational Learning

225
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
225
Purposive Learning01:22

Purposive Learning

156
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
156
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.8K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.8K
Cognitive Learning01:21

Cognitive Learning

442
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
442

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相关实验视频

Updated: Jul 26, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

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通过双重任务相关性和亲和学习进行姿势引导人形象生成.

Pengze Zhang, Lingxiao Yang, Xiaohua Xie

    IEEE transactions on visualization and computer graphics
    |June 15, 2023
    PubMed
    概括

    这项研究引入了一种双任务姿势变换器网络和纹理亲和 (DPTN-TA) 以改善姿势指导人的图像生成,通过解决不良姿势问题和纹理映射. 这种新的方法增强了产生的图像中的现实主义和细节,即使有显著的姿势变化.

    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 图像生成 图像生成

    背景情况:

    • 姿势引导人形象生成 (PGPIG) 旨在在姿势之间转换人形象.
    • 现有的方法与PGPIG的不良性质作斗争,需要更好的纹理映射监督.
    • 这些挑战限制了生成图像的现实主义和细节,特别是在显著的姿势变化下.

    研究的目的:

    • 提出一种新的方法,双任务姿势变换器网络和纹理亲和度 (DPTN-TA),以解决PGPIG的局限性.
    • 改进与准确的姿势转换感知现实的人形图像的生成.
    • 为了增强纹理映射监督和图像生成期间的细节保存.

    主要方法:

    • 引入了一种双重任务的姿势变压器网络和纹理亲和力 (DPTN-TA) 机制.
    • 加入了一个辅助的源到源任务,使用一个语结构来帮助错误的源到目标学习.
    • 开发了一种姿势转换器模块 (PTM) 用于细粒度映射和纹理传输,以及一种新的纹理亲和力损失.

    主要成果:

    • DPTN-TA有效地产生感知上现实的人形图像,具有显著的姿势变化.
    • 该方法在LPIPS和FID指标方面表现出优于最先进的方法的性能.
    • 成功扩展到其他对象的视图合成,如面孔和椅子,展示了多功能性.

    更多相关视频

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    Last Updated: Jul 26, 2025

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    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

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    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

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    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

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    结论:

    • 通过应对固有的挑战,DPTN-TA为姿势引导人图像生成提供了一个强大的解决方案.
    • 拟议的双任务学习和纹理亲和机制显著提高了图像的细节和现实性.
    • 该模型的适应性超越了人体数字,表明它在计算机视觉任务中具有广泛的适用性.