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English(EN) EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion

EeveeDark框架使用二值神经网络进行低光视频增强

研究人员推出 EeveeDark,一个旨在极低光照条件下增强视频质量的新型框架。该系统利用二值神经网络 (BNN) 通过量化权重和激活来提高计算效率。EeveeDark 通过专门的编码器和融合块,将传感器级 RAW 图像数据与事件流的时间精度相结合,并引入了事件引导式跳跃门控机制进行动态精炼。实验结果表明,EeveeDark 超越了现有的基于 BNN 的方法,并与全精度模型相比提供了具有竞争力的性能-效率平衡。 AI

影响 引入了一种使用 BNN 的更高效的低光视频增强方法,有可能在资源受限的设备上实现更广泛的部署。

排序理由 该集群包含一篇发表在 arXiv 上的研究论文,详细介绍了一个新的框架和模型架构。

在 arXiv cs.CV 阅读 →

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EeveeDark框架使用二值神经网络进行低光视频增强

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该集群包含一篇发表在 arXiv 上的研究论文,详细介绍了一个新的框架和模型架构。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Onur Eker, Erkut Erdem, Aykut Erdem ·

    EeveeDark:一种通过事件引导的传感器级融合实现低光视频增强的二元神经网络框架

    arXiv:2607.06217v1 Announce Type: new Abstract: Enhancing videos under extreme low-light conditions remains challenging due to the difficulty of balancing restoration quality and computational efficiency in resource-constrained settings. This paper introduces EeveeDark, a low-lig…

  2. arXiv cs.CV TIER_1 English(EN) · Aykut Erdem ·

    EeveeDark:一种通过事件引导的传感器级融合实现低光视频增强的二进制神经网络框架

    Enhancing videos under extreme low-light conditions remains challenging due to the difficulty of balancing restoration quality and computational efficiency in resource-constrained settings. This paper introduces EeveeDark, a low-light video enhancement framework that combines the…