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Video augmentation methods for Pre-trained model

Open Aayush2007 opened this issue 3 years ago • 3 comments

What are the video augmentation options used in the pre-trained model ([Dropbox]) ? In the code I can see that these are the ones uncommented, is that the case for the pretrained model? dataset/dataloader_video.py ksnip_20220225-151108

Aayush2007 avatar Feb 25 '22 14:02 Aayush2007

Yes,as mentioned in our paper, we adopted three kinds of data augmentation strategies (random crop, horizontal flip and random temporal scaling) during training.

ycmin95 avatar Feb 26 '22 09:02 ycmin95