kacky24 / stylenet Goto Github PK

In test.py, captions with humorous style are generated, but the caption generation process used only training text rather than image. Why don't use image feature to generate humorous captions?

I would like to categorically state that this Paper "StyleNet: Generating Attractive Visual Captions with Styles" from Microsoft is non-reproducible. This is not just from the code based on this repo, but our own extensive experiments have lead us to believe that this paper is just a work of fiction put together. We have also contacted the lead authors Chuang Gan & Zhe Gan. However, we did not get any reasonable explanation about why this architecture does not work. It is unfortunate to see that this paper also have significant citations. At this point, how this was accepted at CVPR remains a big question.
Also the new dataset as mentioned in the paper, is not available as a whole. Only a part of this dataset is available, which makes this task even more questionable.
Overall, I would request readers stumbling across this not to waste their time reproducing this paper!!

I think as a developer it is important to mention the current state of the repo.

You need to update the readme that it is buggy and no further fix is done so that people who are just looking to run the code do not really waste time in setting it up if they don't plan on finding/fixing the bug(wrong/random caption for images).

Also, it is a good practice to keep the issues open until it is fixed. You have closed so many issues which are BUG reports.

Please update the readme file about the BUG in the beginning.

I am sorry to bother you, but i am a recruit in caption. I am very interested in this paper and would be very appreciate if you show more about your data fold. Thanks.

Hi,
sorry to bother you again.
I encountered the same problem as you when generating sentences . And I reimplemented each step by step but still couldn't find where the problem is. If you already find the problem or possible reason, would you please let me know? Thanks a lot !

Sincerely,
Tingyao

Hi, It's a great work!
I did not run the code. But I suspect there may be a problem.
In the paper, the author said that in the multi-task training(ie.training with romantic sentences or humorous sentences) he only update the matrix set {S}. But in your code, the whole LSTM was updated. I didn't find that you frozen other matrixs in somewhere. am I right?
Thank you!

No problem, it's my fault!

Hi, thanks for the hard work!

I had some questions about the state of the code right now:

• Can you actually reproduce the results of the paper?
• Is there a pre-trained model available somewhere?

Best,
Sam

Hi,
I'm a graduate student majoring NLP.

I came across your work recent, and I found it very interesting.
I thought I would implement your model(Factored LSTM), and to do so I would need your dataset.

It is written in the paper that you would release the data to community, but apparently it is not available at the moment.

Is there any chance you will release the dataset to the public?

Best
Hwijeen