Have you ever searched for the state-of-the-art performance on a dataset, and if so, how were you sure you found it?
DCASE Benchmarks is a centralized, community-driven repository to keep track of state-of-the-art performance of DCASE and related topics. The repository powers a website that serves to visualize results and access the corresponding materials. DCASE Benchmarks relies on the community, thus it uses GitHub functionality so that anyone can contribute to it. The page democratizes information and resources to anyone, including external and new members of the community.
DCASE Benchmarks is currently in a beta testing stage.
- Clone the repository: https://github.com/DCASE-REPO/dcase_benchmarks.
- Create a new yaml file using publication_template.yaml in the templates/ folder and update the required fields with the information from your publication.
- Rename the yaml file using a bib-style index (e.g, elizalde2022.yaml) and move it to the publications/ folder.
- Create a PR to add the new yaml file to the publications/ folder
TAU Urban Audio-Visual Scenes 2021, Development
2 publications, 10 results
OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition.
1 publications, 1 results