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[NeurIPS 2022 Spotlight] VideoMAE for Action Detection

License: Other

Python 89.29% C 0.53% C++ 1.29% Cuda 7.14% Shell 1.75%
pytorch mae masked-autoencoder neurips-2022 transformer video-transformer video-understanding videomae action-detection

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videomae-action-detection's Issues

Input resolution of train and validation

Hi authors,

I found that the input video resolution was set to 16x224x224 while the video resolution used during the validation was 16x256x352.

I might read it wrong, but I wonder how much the video resolution could affect the validation accuracy. Could you please provide results validated with 224x224?

How to test?

Thanks for your work

After fine-tuning, the performance of the model on the verification set is obtained, but how to get the accuracy of the model on the test set? Is there a demo file or process for reference?

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