mlsanityData to 14 Oct 2026

A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos

arXiv 2411.08878 ↗First posted 13 Nov 2024cs.CV cs.AI cs.LGcited by 1

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Abstract (arXiv)

We discuss some consistent issues on how RepNet has been evaluated in various papers. As a way to mitigate these issues, we report RepNet performance results on different datasets, and release evaluation code and the RepNet checkpoint to obtain these results. Code URL: https://github.com/google-research/google-research/blob/master/repnet/

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 13 Nov 2024.

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1 of 10 references.

References · 1

  1. 2024Rethinking temporal self-similarity for repetitive action countingcited by 3

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  1. 2025Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activitiescited by 0