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

Hengshuang new result #13

Closed
yuchenlichuck opened this issue Jul 8, 2021 · 3 comments
Closed

Hengshuang new result #13

yuchenlichuck opened this issue Jul 8, 2021 · 3 comments

Comments

@yuchenlichuck
Copy link

batch_size: 32
epoch: 500
learning_rate: 0.0005
gpu: 0
num_point: 1024
optimizer: Adam
weight_decay: 0.0001
normal: true
model:
  nneighbor: 16
  nblocks: 4
  transformer_dim: 512
  name: Hengshuang

Best Instance Accuracy: 0.917067, Class Accuracy: 0.893971

@qq456cvb
Copy link
Owner

qq456cvb commented Jul 9, 2021

Thanks for your contribution! I will update the result.

@qq456cvb qq456cvb closed this as completed Jul 9, 2021
@ardianumam
Copy link

Hi @qq456cvb , @yuchenlichuck ,
In the paper, it is written that mean ACC = 90.6 and overall ACC = 93.7. Does the number above (91.7067) correspond to overall ACC? And if yes, the number is pretty high, even DGCNN achieves higher (92.2).

Thanks.

@yuchenlichuck
Copy link
Author

Yes, and for the paper result, the author still hasn't open-sourced the code yet, so we haven't achieved that result.

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