search

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
Other
1.39k stars 137 forks source link

UCF101 #98

Open wjj-w opened 1 year ago

wjj-w commented 1 year ago

Hi, does the UCF101 dataset not require any processing? Only CSV files need to be divided and then used as input? That means the video input format is the original avi format?Looking forward to your reply.

L1lBURY commented 1 year ago

Hi，i was wondering if the problem of pre-processing and splitting csv for UCF101 datasets has been solved?And how to do these work?

wjj-w commented 1 year ago

Hi，i was wondering if the problem of pre-processing and splitting csv for UCF101 datasets has been solved?And how to do these work?

I got the csv of UCF101, I uploaded it to my homepage, you can try it.

Zhangwenyao1 commented 1 year ago

Hi，i was wondering if the problem of pre-processing and splitting csv for UCF101 datasets has been solved?And how to do these work?

I got the csv of UCF101, I uploaded it to my homepage, you can try it.

Thanks for your effort!

L1lBURY commented 1 year ago

Hi，i was wondering if the problem of pre-processing and splitting csv for UCF101 datasets has been solved?And how to do these work?

I got the csv of UCF101, I uploaded it to my homepage, you can try it.

Thanks for your effort！！！