TimeSformer-pytorch
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Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
Thank you for the implementation for the paper. This is the first time I'm dealing with transformer model, I tried to train over Kinetics700 dataset using this model. and I...
**** Thank you for sharing this code. But it will be great if there is an example code to train a new dataset.
Hello any help about piloting the heatmap of the self attention? Thanks @lucidrains
Thank you so much for your great effort. I can predict the images using the given .py files. But, I couldn't find train.py files, so how to fine-tune the network...
What changes are to be made to adapt the divided space time attention to a join space-time attention model?
start from line 182 `video = rearrange(video, 'b f c (h p1) (w p2) -> b (f h w) (p1 p2 c)', p1 = p, p2 = p)` i think...
Is anybody willing to implement TimSformer in Tensorfor2.+? I am trying to do that, but is struggling ...
Thanks for the work! In their paper they say `For all our experiments, we adopt the “Base” ViT model architecture (Dosovitskiy et al., 2020) pretrained on ImageNet`. I know that...
Could you leave the code of training and evaluation? Thanks a lot.