A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
This work addresses methodological inconsistencies in evaluating a specific model for video analysis, which is incremental as it focuses on improving evaluation practices rather than introducing new techniques.
The paper identifies consistent evaluation issues with RepNet for temporal repetition counting in videos and provides performance results on different datasets along with released evaluation code and a checkpoint.
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/