https://github.com/amazon-science/vigor
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: amazon-science
- License: other
- Default Branch: main
- Size: 1.9 MB
Statistics
- Stars: 7
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling (ECCV 2024)
This repository contains the evaluation dataset of image descriptions as described in the paper. This dataset contains paragraph-length descriptions of MSCOCO images, along with human annotated judgment of each description's correctness relative to the corresponding image and its creativity. The dataset is provided in the standard JSON format.
Attributions
The underlying images were selected from MS-COCO. The model used to generate the descriptions is LLaVA. The underlying LLM is based on LLaMA v1 by Meta (see the applicable license agreement).
Security
See CONTRIBUTING for more information.
License
This dataset is licensed under the CC-BY-NC-4.0 License. See the LICENSE file.
Citation: Bibtex
@inproceedings{yan-eccv2024-vigor,
title = "ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling",
author = "Yan, Siming and
Bai, Min and
Chen, Weifeng and
Zhou, Xiong and
Huang, Qixing and
Li, Erran",
booktitle = "Proceedings of European Conference on Computer Vision 2024",
year = "2024",
url = "https://arxiv.org/abs/2402.06118",
}
Owner
- Name: Amazon Science
- Login: amazon-science
- Kind: organization
- Website: https://amazon.science
- Twitter: AmazonScience
- Repositories: 80
- Profile: https://github.com/amazon-science
GitHub Events
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- Watch event: 4
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Last Year
- Watch event: 4
- Fork event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| min-bai-aws | b****n@a****m | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
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