Verify evals on Papers with Code

Hi,

Niels here from the open-source team at Hugging Face.

I've made the following papers and their evaluation results available on Papers with Code:

- [VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation](https://paperswithcode.co/paper/2308.14710) — [2 paper-native evaluations](https://paperswithcode.co/paper/2308.14710#results).
- [Cut and Learn for Unsupervised Object Detection and Instance Segmentation](https://paperswithcode.co/paper/2301.11320) — [4 paper-native evaluations](https://paperswithcode.co/paper/2301.11320#results).

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 each paper page using your Hugging Face account.

Kind regards,

Niels

Open the Papers with Code pages linked for VideoCutLER and Cut and Learn, then compare their listed evaluations with the corresponding papers. Check scores, model names, benchmark protocols, and openness metadata, and report any corrections needed or confirm that the entries are accurate.

Written by the indexing model from the issue text.