A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
2024-11-13Code Available2· sign in to hype
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
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ReproduceCode
- github.com/google-research/google-researchOfficialIn papertf★ 37,519
- github.com/sviprepetitioncounting/transracOfficialIn paperpytorch★ 121
Abstract
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/
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| Countix | RepNet | OBO | 0.3 | — | Unverified |
| Countix | RepNet | OBO | 0.7 | — | Unverified |
| UCFRep | RepNet | MAE | 0.21 | — | Unverified |