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

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.

顶级标签: data computer vision model evaluation
详细标签: data leakage dataset splitting video frames clustering evaluation reliability 或 搜索:

查找泄露,修复分割:基于聚类的防止视频衍生数据集信息泄露的方法 / Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets


1️⃣ 一句话总结

这篇论文提出了一种基于聚类的帧选择策略,通过在划分训练集、验证集和测试集之前,先将视觉上相似的视频帧分组,从而有效防止数据集信息泄露,确保划分出的各部分更具代表性、更平衡、更可靠。


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