Submission Process

We will prepare a Docker container to provide a consistent submission environment. The detailed information of the release and usage of the Docker container will be announced in our website later.

NOTE: 

• We are planning to provide a small validation set, which allows participants to tune their models using these unseen data, and also perform a self-evaluation on the validation data for a sanity check using their Docker images. The participants are allowed to make multiple distinct submissions (but must ensure they are not merely simple variations in hyperparameter values), and the best result will be selected for competing. The number of submissions for each team is limited to 5 to preserve variations in hyperparameters.
• Your model is expected to run on a single GPU, with GPU memory usage not exceeding 32GB when running docker.
• Participants are required to dockerize their trained network/algorithm/method and submit them via a file-sharing link (e.g., OneDrive, Dropbox) to the organizers via this form [TBA]. Participants are encouraged to familiarize themselves with the fundamentals of building and running Docker images; however, advanced Docker expertise is not required. A sample Docker image will be provided to help you get started.