Verify evals on Papers with Code
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 48/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Active
- Domain
- documentation
Research direction
Start with the linked paper and its seven Papers with Code evaluation pages for S3DIS, ScanNet200, nuScenes, Waymo Open Dataset, ScanNet, and SemanticKITTI. Compare each score, model name, benchmark protocol, and openness metadata with the paper, then report any corrections; the issue does not name repository files or tests.
Written by the indexing model from the issue text.
Description
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 7 paper-native evaluations available on Papers with Code.
The paper is part of the 3D semantic segmentation task page.
The D-DITR (multi-dataset) result currently ranks first on S3DIS.
The DITR results currently rank first on ScanNet200 and nuScenes.
The DITR result currently ranks second on Waymo Open Dataset.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):
Kind regards,
Niels
- Dominant language
- Python
- Stars
- 113
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
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