Skip to content

README: point paper readers at the v1.0-iccv2025 release #106

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.

Sign up for GitHub

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

Open
jonfroehlich wants to merge 2 commits into
base: main
Choose a base branch
from
Open

README: point paper readers at the v1.0-iccv2025 release #106

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
8689b48
README: point paper readers at the v1.0-iccv2025 release
jonfroehlich Aug 3, 2026
4190e4c
README: point at the corrected-eval release too, not just paper state
jonfroehlich Aug 4, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 14 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,20 @@
<p>
<strong>RampNet</strong> is a two-stage pipeline that addresses the scarcity of curb ramp detection datasets by using government location data to automatically generate over 210,000 annotated Google Street View panoramas. This new dataset is then used to train a state-of-the-art curb ramp detection model that significantly outperforms previous efforts. In this repo, we provide code for training and testing our system.
</p>

> [!NOTE]
> **Looking for a fixed version of this repository?** There are two tagged releases:
> [`v1.0-iccv2025`](https://github.com/ProjectSidewalk/RampNet/releases/tag/v1.0-iccv2025) is the
> repository frozen at paper state — use it to reproduce the ICCV'25 paper exactly as written.
> [`v1.1-corrected-eval`](https://github.com/ProjectSidewalk/RampNet/releases/tag/v1.1-corrected-eval)
> is the same code and the same model weights with the **corrected evaluation protocol** (see the
> [Erratum](#erratum-evaluation-metrics-july-2026) below) — use it to score RampNet's model under
> standard one-to-one matching. The `main` branch keeps evolving (post-paper analyses, benchmarks,
> and groundwork for what comes next), while the published
> [model](https://huggingface.co/projectsidewalk/rampnet-model) and
> [dataset](https://huggingface.co/datasets/projectsidewalk/rampnet-dataset) on Hugging Face are
> versioned independently and match the paper.

<br>

## Citation
Expand Down
Loading