MCG-NJU / VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
https://arxiv.org/abs/2203.12602
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Questions about performence on ssv2 #99

Open wnzhyee opened 1 year ago

wnzhyee commented 1 year ago

Hi, I just notice the csv split files which author provided in google_drive, the test.csv and val.csv is same, total 24777 samples. This split should be ssv2 offical validation split, so the provided acc in paper is base on official validation? What other methods are based on which split, are they all base on validation? Waiting for reply, thanks!