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Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)

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Hi @Pilhyeon, thanks for your great work! Now I'm following your BMUE and have some trouble in reproducing the results on ActivityNet dataset. I have tried to do some experiments...

These two lines should not add 1 for compute areas: https://github.com/Pilhyeon/WTAL-Uncertainty-Modeling/blob/ea630d41e2fc92d523257524690cc6de921e4773/utils.py#L101 https://github.com/Pilhyeon/WTAL-Uncertainty-Modeling/blob/ea630d41e2fc92d523257524690cc6de921e4773/utils.py#L111 Reference the implement of temporal nms in `mmaction2` https://mmaction2.readthedocs.io/en/latest/api.html#id26

Can you explain the workflow of proposal? @Pilhyeon https://github.com/Pilhyeon/WTAL-Uncertainty-Modeling/blob/ea630d41e2fc92d523257524690cc6de921e4773/utils.py#L19 How to decide these four values: `_lambda=0.25`, `gamma=0.2`, `feature_fps = 24`, `scale = 24`

I have ran the code many times(about 100 times), same environment with requirements.txt, even changed 3 different machines, but the best result I could get is about to 40, much...

Hello,Pilhyeon。 When do you relase the feature of act1.2 and act1.3? I have been waiting for your feature about four months. Or you can send me the feature by email:[email protected]....

Hi, Excellent work ! You mentioned that you will make the ActivityNet Features and model public. Can you do so now ? I t is very difficult to reproduce the...