Getting Started
Participants register a team, receive a unique team ID, download the data and Starter Kit, generate their model predictions, and submit to the benchmark.
Step-by-Step Participation
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Register Team
Register or manage your team to receive a unique team ID, updates, and access to submission instructions.
Register or manage team -
Receive Unique Team ID
After registration, each team is issued a unique identifier that must be used for all benchmark submissions and leaderboard entries. Include this team number and your exact registered team name in the abstract of your workshop paper.
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Download Data
Download the Spring and RobustSpring training splits needed for model development, local validation, and practice runs.
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Install the Starter Kit
Set up the PTLFlow-based Starter Kit with training and inference scripts, data loaders, and example configurations.
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Run Baseline
Run the provided baseline configurations to verify your environment, data paths, and end-to-end inference pipeline.
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Generate Predictions
Produce model outputs for your chosen task(s) and export them in the required prediction format.
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Validate Archive Locally
Package your predictions into a submission archive and run local validation to catch formatting or naming issues before uploading.
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Submit to Benchmark Server
Upload your validated archive to the benchmark to receive scores on the development leaderboard.
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Submit Workshop Paper and Reproducibility Package
Use the official NeurIPS 2026 paper format with its
sglblindworkshopoption for a single-blind submission with 4–6 main-paper pages; references and an optional appendix may follow outside that limit. Challenge teams must include their exact team number and registered team name in the abstract. Submit the reproducibility package with the camera-ready paper. See the Call for Papers for details.
PTLFlow-Based Tools and Scripts
RoCo-Spring Starter Kit repository: hmorimitsu/roco-spring-devkit
Clone the official RoCo-Spring Starter Kit for its PTLFlow-based tools and scripts. Challenge submission requirements and validation steps are maintained on this website.
If you use the PTLFlow-based Starter 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}}
}
Getting Help
GitHub issues: Report a website or challenge issue
Questions and discussion: Start a public support thread