Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

poor results applying video summarization on BDD100 dataset #16

Open
EmnamoR opened this issue Oct 23, 2019 · 2 comments
Open

poor results applying video summarization on BDD100 dataset #16

EmnamoR opened this issue Oct 23, 2019 · 2 comments

Comments

@EmnamoR
Copy link

EmnamoR commented Oct 23, 2019

Screenshot 2019-10-23 at 14 10 35

I am trying to apply the network on BDD100 dataset which is for drives so c_loss is -Gan_loss

in the paper we should :

  1. For learning {θs, θe}, minimize
    (Lreconst+Lprior+Lsparsity). ==> s_e_epoch
  2. For learning θd, minimize (Lreconst+LGAN). d_epoch
  3. For learning θc, maximize LGAN. which is -c_loss so minimize c_epoch

but i am having this behaviour? what could be the problem ?

@shineYuSong
Copy link

have you realized the original project? can you transfer the dataset to me

@kundezui
Copy link

Could you tell me how to run this code?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants