Participate

Getting Started

Participants register a team, receive a unique team ID, download the data and starting kit, generate their model predictions, and submit to the benchmark.

Workflow

Step-by-step participation

  1. Register team

    Register or manage your team to receive a unique team ID, updates, and access to submission instructions.

    Register or manage team

  2. Receive unique team ID

    After registration, each team is issued a unique identifier that must be used for all submissions and leaderboard entries.

  3. Download data

    Download the Spring and RobustSpring training splits needed for model development, local validation, and practice runs.

  4. Install starting kit

    Set up the PTLFlow-based starting kit with training and inference scripts, data loaders, and example configurations.

    Starter kit (codebase)

  5. Run baseline

    Run the provided baseline configurations to verify your environment, data paths, and end-to-end inference pipeline.

  6. Generate predictions

    Produce model outputs for your chosen task(s) and export them in the required prediction format.

  7. Validate archive locally

    Package your predictions into a submission archive and run local validation to catch formatting or naming issues before uploading.

  8. Submit to benchmark server

    Upload your validated archive to the benchmark to receive scores on the development leaderboard.

  9. Submit workshop paper and reproducibility package

    Prepare and submit a 4–6 page workshop paper describing your method and experiments. With the camera-ready deadline, include a reproducibility package with dataset declarations, training and evaluation scripts, resource requirements, and a pinned environment setup. See evaluation requirements for details.

Starting Kit

PTLFlow-based tools and scripts

RoCo-Spring starting kit repository: hmorimitsu/roco-spring-devkit

Clone the official RoCo Spring DevKit for its PTLFlow-based tools and scripts. Challenge submission requirements and validation steps are maintained on this website.

If you use the PTLFlow-based starting kit or PTLFlow components in your work, please cite the following reference.

@misc{morimitsu2021ptlflow,
  author = {Henrique Morimitsu},
  title = {PyTorch Lightning Optical Flow},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/hmorimitsu/ptlflow}}
}
Support

Getting help

GitHub issues: Report a website or challenge issue

Questions and discussion: Start a public support thread

Email: roco-spring-org@googlegroups.com