jamespark3922 / adv-inf Goto Github PK

[Errno 2] No such file or directory: 'densevid_eval/result_val_D7B9L9.json'

How can I have this file?

Hi @jamespark3922,

Could you share the generated captions of the models used in the paper? Including the ones from references [13, 76, 67].

Best,
Jie

Hi, I am not able to understand how you have extracted the renext101-64f features. I am trying to extract features using the repository link provided here (https://github.com/kenshohara/video-classification-3d-cnn-pytorch). But, for each 16 frame it is giving me feature vector of 2048 dimenson. But your vectors seems to have 4096 dimension vectors for each 16 frames.

For resnet152 you have used 100 frames per video. Can you please explain how you have extracted those 100 frames. Also, resnet152 has vector size of 2048 but your vector are having dimension of 1024.

It would be very helpful if you can help me with this.

Hi @jamespark3922,

I would like to request the pretrained model.

Thank you!!
Best,
Peratham

Hi @jamespark3922 ,

Are you considering to release the code for training it as GAN? It will be a very interesting code base, and will be very complementary to Luo's. In case you don't plan to release it maybe you could share it with me via e-mail?

Regards,
panos

Hi, Park. Very excellent work. Coudl you please post the codes on generating the three kinds of features like 'renext101-64f (126GB)', 'resnet152 (14GB)' and 'bottomup labels (16GB)' ?

How long does your model need to train?

Does this repo contain the option to train in normal adversarial mode? If not, can i kindly request to share it ?