Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 4 paper-native evaluations available on Papers with Code.
The paper is part of the Video classification task page.
The VideoMAE V2-g results currently rank second on HMDB51 and Something-Something V1.
The VideoMAE V2-g (64x266²) result currently ranks third on Kinetics-400.
The VideoMAE V2-g result currently ranks fourth on Something-Something V2.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):
Kind regards,
Niels
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 4 paper-native evaluations available on Papers with Code.
The paper is part of the Video classification task page.
The VideoMAE V2-g results currently rank second on HMDB51 and Something-Something V1.
The VideoMAE V2-g (64x266²) result currently ranks third on Kinetics-400.
The VideoMAE V2-g result currently ranks fourth on Something-Something V2.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):
Kind regards,
Niels