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3 months ago
A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman

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/
Code Repositories
sviprepetitioncounting/transrac
Official
pytorch
google-research/google-research
Official
tf
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| repetitive-action-counting-on-countix | RepNet | MAE: 0.3002 OBO: 0.7047 |
| repetitive-action-counting-on-repcount | RepNet | MAE: 0.3308 OBO: 0.5329 |
| repetitive-action-counting-on-ucfrep | RepNet | MAE: 0.2088 OBO: 0.7333 |
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