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The penis serves a dual role in sexual reproduction and urination. It consists of three main regions: the glans penis, the body, and the root, each with distinct functions and unique anatomical features.
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The glans penis, or the head, is the terminal part of the penis and houses the external urethral orifice, the exit point for urine and semen. Covered by the prepuce, or foreskin, the glans is noted for its sensitivity and plays a key role in sexual pleasure. The body of the...
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Sexual stimulation can take various forms, such as physical touch and visual or auditory cues. When this happens, the parasympathetic reflex in the sacral portion of the spinal cord is activated. This reflex stimulates the release of nitric oxide (NO), which then dilates the arterioles in the penis, increasing blood flow to the erectile tissues - the corpora cavernosa and corpus spongiosum.
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Men's health issues are increasingly recognized as significant, with several conditions posing common threats. Among these, testicular cancer is especially prevalent in younger men, particularly those aged 20 to 35 years. The disease often manifests as a painless mass in the testicles, sometimes accompanied by a sensation of heaviness or a dull ache.
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低拍摄视频对象分割的低拍摄视频对象分割

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    此摘要是机器生成的。

    本研究介绍了低拍摄视频对象细分 (VOS),使用最小标记的训练模型. 这种方法实现了与完全注释的方法几乎相当的性能,大大降低了注释成本.

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    科学领域:

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

    背景情况:

    • 视频对象分割 (VOS) 通常需要广泛的像素级注释,这是昂贵的和耗时的.
    • 现有的VOS方法在很大程度上依赖于密集的注释来进行有效的培训.

    研究的目的:

    • 为了证明训练VOS模型的可行性,使用稀疏的注释,特别是每个视频一个或两个标记的.
    • 引入一种名为低拍摄视频对象细分 (low-shot VOS) 的新型训练方法.

    主要方法:

    • 在培训期间开发了一种用于为没有标签的生成可靠的伪标签的方法.
    • 集成的伪标签与稀有标签的框架,以优化VOS模型.
    • 提出了一种通用方法,用于在一拍和两拍数据集上训练VOS模型.

    主要成果:

    • 实现了与完全注释模型相比的性能,仅使用7.3% (YouTube-VOS) 和2.9% (DAVIS) 的标记数据在双拍设置中.
    • 展示了一种通用的一次性和两次性VOS训练方法.
    • 与完全注释训练相比,在一次性设置中观察到轻微的性能下降.

    结论:

    • 低射量VOS是传统VOS培训方法的可行和高效替代方案.
    • 拟议的伪标签策略显著减少了对广泛注释的需求,同时保持了高性能.
    • 这种方法为VOS任务提供了一个实用的解决方案,在这些任务中,数据注释是瓶.