堵漏防泄：基于聚类的视频数据集防泄漏方法

摘要

我们提出一种基于聚类的帧选择策略，以减轻视频衍生帧数据集中的信息泄露问题。该方法通过在划分训练集、验证集和测试集之前对视觉相似的帧进行分组，从而生成更具代表性、平衡性且可靠的数据集划分。

English

We propose a cluster-based frame selection strategy to mitigate information leakage in video-derived frames datasets. By grouping visually similar frames before splitting into training, validation, and test sets, the method produces more representative, balanced, and reliable dataset partitions.

堵漏防泄：基于聚类的视频数据集防泄漏方法

Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets

摘要

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