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

arXiv: https://arxiv.org/abs/2411.08878 · HTML: https://mlsanity.com/paper/2411.08878/

## Key facts

- Cited by 1 papers 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.

## Builds on (most cited first, 1 of 1)

- [Rethinking temporal self-similarity for repetitive action counting](https://mlsanity.com/paper/2407.09431/) (2024)

## Built on by (most cited first, 1 of 1)

- [Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities](https://mlsanity.com/paper/2511.14945/) (2025)

## 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/