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

arXiv.org Artificial Intelligence

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/


Why the RepNet is so important

#artificialintelligence

In our daily lives, repeating actions occur frequently. The need to recognise these repetitions, like those in videos, is unavoidable and requires a system that can identify and count repetitions. Think exercising -- how many repetitions are you doing? Isolating repeating actions is a difficult task. I know, it seems pretty straight forward when you see someone in front of you jumping up and down but translating that into the form of a machine learning problem makes it much more difficult.