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This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

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Thank you for the great work, I wonder if you can release any of the S3D pretrained on Kinetics.

Hi, thanks for this fantastic work. But I notice there is only forward implementation of TSN in this project, backward prop is missing. According to original paper, eq(5) in [L....

Thank you for sharing. Regarding the current work, I have some questions I hope you can answer. ①How to deal with the data sets of UCF101 and HMDB51? What is...

Working on your repo on Google Collab, I have tried to use the tools that you guys provide for extracting the videos, and I got an import error when importing...

I wonder if you could provide detailed configurations according to the six models. Thank you.

hi, thanks for your share. I wonder if you could share trained models as README.md mentioned.

Hi, is this project able to use distributed training in multiple nodes?

I have a dataset of different frames per clip, ordered in the way you suggest. Is it possible to use this code to train the models on my own dataset?

Hi, thanks for this fantastic work. There are some bugs if the video start frame is not near 0 (ex: 256, or 515). May be i try to fix...

Does anyone who read this message tell me how to generate Grad-CAM like in the image I attached: ![image](https://user-images.githubusercontent.com/67034253/199534573-afe72fca-4864-40c4-8ded-244d443a4ef4.png) I have used https://github.com/jacobgil/pytorch-grad-cam framework but my work fails (I can...