Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 17 Nov 2025.
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References · 6
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
- 2023Sigmoid Loss for Language Image Pre-Trainingcited by 3,109
- 2025DINOv3cited by 1,414
- 2020Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualizationcited by 173
- 2024XFeat: Accelerated Features for Lightweight Image Matchingcited by 113
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