GLaMM-RegCap-VG is the model specific to referring expression segmentation. "RefSeg" denotes its focus on segmentation tasks related to referring expressions.
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📜 Citations and Acknowledgments
@article{hanoona2023GLaMM,
title={GLaMM: Pixel Grounding Large Multimodal Model},
author={Rasheed, Hanoona and Maaz, Muhammad and Shaji, Sahal and Shaker, Abdelrahman and Khan, Salman and Cholakkal, Hisham and Anwer, Rao M. and Xing, Eric and Yang, Ming-Hsuan and Khan, Fahad S.},
journal={ArXiv 2311.03356},
year={2023}
}
Runs of MBZUAI GLaMM-RefSeg on huggingface.co
68
Total runs
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24-hour runs
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3-day runs
-4
7-day runs
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30-day runs
More Information About GLaMM-RefSeg huggingface.co Model
GLaMM-RefSeg huggingface.co is an AI model on huggingface.co that provides GLaMM-RefSeg's model effect (), which can be used instantly with this MBZUAI GLaMM-RefSeg model. huggingface.co supports a free trial of the GLaMM-RefSeg model, and also provides paid use of the GLaMM-RefSeg. Support call GLaMM-RefSeg model through api, including Node.js, Python, http.
GLaMM-RefSeg huggingface.co is an online trial and call api platform, which integrates GLaMM-RefSeg's modeling effects, including api services, and provides a free online trial of GLaMM-RefSeg, you can try GLaMM-RefSeg online for free by clicking the link below.
MBZUAI GLaMM-RefSeg online free url in huggingface.co:
GLaMM-RefSeg is an open source model from GitHub that offers a free installation service, and any user can find GLaMM-RefSeg on GitHub to install. At the same time, huggingface.co provides the effect of GLaMM-RefSeg install, users can directly use GLaMM-RefSeg installed effect in huggingface.co for debugging and trial. It also supports api for free installation.