MSVA

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tuanzzfds

Hello, While reproducing the results, I'm unable to get the scores (Spearman and Kendall Tau) that you guys reported in the paper. It's deviating a lot from the reported score....

rodosingh

#### ThankYou MSVA guys, for making the code public and most importantly, the ***splits*** public. --- After trying to reproduce your code, I encountered two errors (`Line 314`) ```python3 train_val_loss_score.append([loss,np.mean(avg_loss[:,...

rodosingh

Which F1-Score is reported in the paper?

1

Hello, Thank you for making the code open-source. :) I am trying to reproduce your results, and while looking into the code, it seems there are two types of split...

nogaini

How did you extract the motion features for the datasets?

2

Hi, I tried to replicate the render part of your project, specifically the motion feature extraction. I couldn't do it because the code version "https://github.com/deepmind/kinetics-i3d/tree/master/data/checkpoints/rgb_imagenet" is out of date. Thanks...

StevRamos

how to import i3d, i can not install by pip or conda

1

shineYuSong

problem about code,the coefficient of Spearman’s and Kendall’s in Tvsum are 0.5849 and 0.6403

5

I can't reproduce the results, I run the code, and the coefficient of Spearman’s and Kendall’s in Tvsum are 0.5849 and 0.6403 respectively，which are more higher than the results.

sunguoquan1005

I use 'KTS' to segment the video ,but I can't get the result of yours，how can I get the same segmentation

4

sunguoquan1005

Trained Model's F-score is different from the score stated in the paper.

1

Hello. I tried to train the model, (I didn't change anything.) And I got 60.45 F-score.(intermediate_tvsum_non_overlapping_split_avg) But the paper states that the F-score is 61.5. Why did the score come...

Min-seong-son

extract object features

6

Hi, I am trying to extract the object features using your code in https://github.com/VideoAnalysis/EDUVSUM/tree/master/src. According to your paper, you are using the googleNet trained with imagenet. I assume that you...

xxhiao