VAC_CSLR
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Video augmentation methods for Pre-trained model
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
Yes,as mentioned in our paper, we adopted three kinds of data augmentation strategies (random crop, horizontal flip and random temporal scaling) during training.