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

Request to include our recent work on self-supervised audio-visual emotion recognition #11

Open
sunlicai opened this issue Jan 17, 2024 · 0 comments

Comments

@sunlicai
Copy link

Hi,

Thanks for your efforts to build this great repo for audio-visual learning.

We recently have a study (HiCMAE) on self-supervised audio-visual emotion recognition and we hope it can be included in this awesome repo. Thanks very much!

Paper title: HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition.
Codes and models: https://github.com/sunlicai/HiCMAE.
TL;DR: HiCMAE presents an early endeavor to leverage large-scale self-supervised pre-training to address the dilemma of current supervised methods and achieves great success on 9 audio-visual emotion recognition datasets.

Best,
Licai

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

1 participant