GLaMM-RegCap-VG is the model specific to region-level captioning finetuned on RefCOCOg. "RegCap-RefCOCOg" indicates its specialization in region-level captioning with tuning on the RefCOCOg dataset.
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For a detailed overview and insights into the project, visit our
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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-RegCap-RefCOCOg on huggingface.co
21
Total runs
0
24-hour runs
-4
3-day runs
-2
7-day runs
6
30-day runs
More Information About GLaMM-RegCap-RefCOCOg huggingface.co Model
GLaMM-RegCap-RefCOCOg huggingface.co is an AI model on huggingface.co that provides GLaMM-RegCap-RefCOCOg's model effect (), which can be used instantly with this MBZUAI GLaMM-RegCap-RefCOCOg model. huggingface.co supports a free trial of the GLaMM-RegCap-RefCOCOg model, and also provides paid use of the GLaMM-RegCap-RefCOCOg. Support call GLaMM-RegCap-RefCOCOg model through api, including Node.js, Python, http.
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MBZUAI GLaMM-RegCap-RefCOCOg online free url in huggingface.co:
GLaMM-RegCap-RefCOCOg is an open source model from GitHub that offers a free installation service, and any user can find GLaMM-RegCap-RefCOCOg on GitHub to install. At the same time, huggingface.co provides the effect of GLaMM-RegCap-RefCOCOg install, users can directly use GLaMM-RegCap-RefCOCOg installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
GLaMM-RegCap-RefCOCOg install url in huggingface.co: