# UVA-Computer-Vision-Lab/OmniShotCut

<https://repo.masters-masters.com/en/repos/UVA-Computer-Vision-Lab/OmniShotCut>

[Home](https://repo.masters-masters.com/en) › [UVA-Computer-Vision-Lab](https://repo.masters-masters.com/en/owners/UVA-Computer-Vision-Lab) › [OmniShotCut](https://repo.masters-masters.com/en/repos/UVA-Computer-Vision-Lab/OmniShotCut)

UVA-Computer-Vision-Lab/OmniShotCut has 343 stars on GitHub. Its RepoMasters card: Alpha tier. OmniShotCut is a sensitive and more informative SoTA on Shot…

| Field | Value |
| --- | --- |
| Owner | [UVA-Computer-Vision-Lab](https://repo.masters-masters.com/en/owners/UVA-Computer-Vision-Lab) |
| Stars | 343 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | python, scene-detection, video-processing |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [UVA-Computer-Vision-Lab/OmniShotCut](https://github.com/UVA-Computer-Vision-Lab/OmniShotCut) |

## Repository

OmniShotCut is a sensitive and more informative SoTA on Shot Boundary Detection task. (NeurIPS 2026)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.