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相关概念视频

Detection of Black Holes01:10

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Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
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Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
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放大 文本检测器 放大 文本检测器

Chuang Yang, Mulin Chen, Yuan Yuan

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    此摘要是机器生成的。

    最近的文本检测器以不可靠的收缩面具为速度牺牲了准确性. 拟议的缩放文本检测器 (ZTD) 通过解决特征失焦,细节丢失和错误阳性来提高速度和准确性.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 最近的文本检测方法优先考虑速度而不是准确性.
    • 基于面具的缩小策略会使人对面具质量产生依赖,从而导致性能问题.
    • 现有的方法遭受特征失焦,细节损失,和错误的阳性,降低了收缩面具的可靠性.

    研究的目的:

    • 开发一种新的文本检测器,实现全面的性能 (速度和准确性).
    • 为了解决当前基于收缩面具的文本检测方法的局限性.
    • 引入一个以相机变焦原理为灵感的变焦文本检测器 (ZTD).

    主要方法:

    • 引入了一个缩放式视图模块 (ZOM),用于早期层中的粗粒度优化,减轻特征失焦.
    • 整合了一个缩放式视图模块 (ZIM) 来增强保证金识别和防止细节丢失.
    • 设计了一种序列视觉区分器 (SVD) 以使用序列和视觉特征来抑制假阳性样本.

    主要成果:

    • 与现有方法相比,拟议的 ZTD 显示出优越的综合性能.
    • 实验结果验证了ZOM,ZIM和SVD在解决发现的局限性的有效性.
    • 采用ZTD,在检测速度和准确性之间实现了更好的平衡.

    结论:

    • 在ZTD有效地克服了传统的收缩面具基于文本检测器的缺点.
    • 新型模块 (ZOM,ZIM,SVD) 极大地促进了ZTD的性能提升.
    • ZTD代表了文本检测技术的重大进步.