hainow / mctn Goto Github PK

Hi, is there anywhere I can download the data?

Hi Hainow,
Thanks for sharing the code.
I have a question about the feature extraction,in the paper you say that details on feature extraction are in supplementary materials,but i cant find it on the website.Could you offer it for us?
Cheers,
wlimin

Sir, your paper "Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities" surprised me , I never see anyone deal the problem by MCTN.

Pity, I have an issue. I ask your help here heartedly. :D

problem:

During the 'Bimodal Cyclic Translations', we need capture the joint representation.
Then, how many seq2seq model we need? only one? or two?
Can we deal bimodal cyclic translations by a seq2seq model with an encoder and a decoder?

Thanks for u reading.~~and expect u reply.
:D

Hi,

Could you please let me know where in the code is beam search decoding implemented?

Thanks,

Hello, I am trying to run your code
However I encountered some problem preprocessing data.
The official CMU_MOSI dataset provided only h5 file or pickle style file, but in your utils/data_loader.py the program need csv file as input (eg. line 50 "file_name = facet_path + video_index + '.FACET_out.csv'")
Where can I get the csv format file ? Or can you provide a link to download the dataset ("data/mosi" in you project) ?