Instructions to use Zeteng/CameraJev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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- PEFT
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研究用 checkpoint,僅供非商業研究(CC-BY-NC-SA-4.0),逐個人工審批。
本倉庫不含任何視頻或幀。方法細節、評測結果與使用說明隨倉庫文件一併提供,審核通過後可見。
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CameraJev-4B — compact camera-motion recognition
A compact camera-motion recogniser: it answers camera-movement questions — pan, tilt, truck, dolly, zoom, roll, arc, static and more — at a fraction of the size and cost of a large video-language model.
Built for throughput, so camera motion can be labelled across a whole corpus rather than sampled. Improves measurably on its base model on the standard public camera-motion benchmarks.
Quantitative results, the method, and runnable loading code are in the repository and become available once your access request is approved — this work is not yet published, so the public card is kept brief.
What you get
LoRA checkpoints over ZhuYuhan/VideoJev-4B, with their configurations. No video, frames
or training data are included.
Access
Click Request access on this page and complete the form. Requests are reviewed individually.
Licence and credit
- Licence: CC-BY-NC-SA-4.0 — non-commercial research only.
- Base model:
ZhuYuhan/VideoJev-4B(Apache-2.0), not redistributed here.
Citation
If you use this repository, please cite it. The upstream works credited above should be cited as well.
@misc{lin2026camerajev4b,
author = {Zeteng Lin and Jing Tang},
title = {CameraJev-4B: compact camera-motion recognition},
year = {2026},
howpublished = {\url{https://huggingface.co/Zeteng/CameraJev-4B}}
}
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