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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

318
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Altered States of Awareness01:06

Altered States of Awareness

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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
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Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
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The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

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The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Fineness of Cement01:15

Fineness of Cement

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The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
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PestScope:用于细粒度农业害虫细分的排除意识的大型多式模式.

Yang Yang, Huibin Luo, Haotian Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |February 10, 2026
    PubMed
    概括

    通过整合视觉,语言和推理,PestScope增强了农业害虫细分. 这种模型提高了对小型和类似害虫的准确性,为未见的害虫类别展示了强大的概括性.

    科学领域:

    • 计算机视觉 计算机视觉
    • 农业技术 农业技术
    • 人工智能的人工智能

    背景情况:

    • 现有的推理细分 (RS) 模型缺乏针对农业的特定领域的知识,与类似的害虫外观和小目标尺度作斗争.
    • 农业害虫的精确细分对于精确的面积测量和密度分析至关重要,这些任务目前的检测方法无法很好地解决.

    研究的目的:

    • 引入一个细粒度的虫害RS任务,包括虫害歧视性引用表达式细分 (PDRES) 和虫害排除推理细分 (PERS).
    • 提出PestScope,一个集视觉,语言和推理的新型模型,用于加强农业中细粒度害虫细分.
    • 通过自动化数据集构建管道来解决细粒度,难度可控的害虫RS数据集的稀缺问题.

    主要方法:

    • 开发了PestScope,结合专门的[NON]和[SEG]令牌,以优先考虑小型目标害虫并抑制非目标地区.
    • 引入了排他性抑制损失,以区分对[SEG]和[NON]代币的监督,改善目标和非目标害虫的分离.
    • 创建了一个自动化数据集构建管道,在18个害虫类别中生成45k (PDRES) 和27.6k (PERS) 的图像-文本-面具样本.

    主要成果:

    • 在小型和类似的害虫情景中,PestScope集成改善了平均gIoU的4.28% (PDRES) 和6.49% (PERS).
    • 具有强大的概括能力,在未见的害虫类别中,GIoU增加了21.72% (PDRES) 和8.66% (PERS).

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  • 自动化数据集构建管道成功生成了一个大规模的细粒度害虫RS数据集.

    • 结论:

    • PestScope有效地解决了农业中细粒度害虫细分化的挑战,特别是对于小型和类似的害虫类型.
    • 拟议的方法和数据集显著提高了在农业应用中的推理细分能力.
    • 该模型在未见的害虫类别上的强表现凸显了其在现实世界农业害虫监测和管理方面的潜力.