performance on UCF and HMDB (split1)
lovelyczli opened this issue · 1 comments
lovelyczli commented
Thanks for sharing exciting work! But I have some questions as follow:
UCF and HMDB are popular datasets for action recognition, but your work doesn't report these results. (except R2+1D report pre-training on Kinetics)
I3D has greatly improved on HMDB and UCF since pre-training on Kinetics. So how about R2+1D and CSN after pre-training on big datasets, especially in IG65M.
I am attempting to finetune on UCF and HMDB by your Initialization weights by Kinetics and IG65M. So can you provide me some experimental results?
Thanks
salahsh commented
I have trained r2plus1d_18 on HMDB51, but the accuracy is less than 40%, do not know why