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Video Graph Transformer for Video Question Answering (ECCV'22)

License: Apache License 2.0

Python 96.73% Shell 3.27%
graph-transformer temporal-dynamics video-language-understanding video-question-answering videoqa

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vgt's Issues

Object alignment

Hi, thank you for your great work.
Have you processed object alignment across frames (4 frames) per video clip (8 video clips in one data point) in your nextqa feat file?

features of TGIF dataset

Hello, I need the feature files for TGIF-QA.
Could you provide the features files like nexqa dataset in the h5 file, please?

Low Test Accuracy

After downloading all the required files for nextqa, I executed the command :

./shells/next_test.sh 0

but found that the accuracy is only 19.47%.

And when I removed the line of "pretrain_path" in next_test.sh and executed the command aforementioned, I got the accuracy 20.04%.

So I wander whether fine-tuning is required for the given model "VGT_B5" on nextqa.

Val Accuracy

Thank you for sharing your programe. When I trained the model without CM-pretain under default setting, I got val accuracy of 54.22. How can I reproduce 55.02 which is presented in the paper? Thank you for your help!

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