iPerceive

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Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

in the paper, we know that the output of DVC fed into VQA, but actually i cannot find this part in the code. Moreover, if the three parts of your...

wwwy-binary

VideoQA results not reproducible

1

Hi, first of all thanks for sharing your code! Unfortunately running VideoQA inference with your pretrained model I get around 20% accuracy, which is the random chance level, instead of...

simon-ging

Hi Aman, Thank you sharing your code. Really appreciate it. When I am trying to perform inference on one data sample, I run the sample.py file and then use generated...

nsbendre25

Some doubts about your code

9

Your research is nice. As for your code, are you sure your code is runnable? I have tried to run your code about iPerceiveDVC but there are lots of low-level...

Linxxx

Thank you for your excellent work. Regarding csfeatures, I have two questions for you. Questions 1：I run your iPerceive and get that there should be N 1024 features in each...

BNU-Wu