Add task categories, paper link, and project links
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
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@@ -3,26 +3,33 @@ configs:
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- config_name: default
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data_files:
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- split: test
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path:
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---
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# PixMMVP Benchmark
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# Acknowledgements
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I acknowledge the use of MMVP dataset's images and questions/choices part of building this dataset, the original [MMVP](https://huggingface.co/MMVP).
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#
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Please
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```
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@article{siam2025pixfoundation,
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title={PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?},
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author={Siam, Mennatullah},
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journal={arXiv preprint arXiv:2502.04192},
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year={2025}
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}
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```
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- config_name: default
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data_files:
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- split: test
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path:
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- Objects.csv
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- Segmentations.json
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- visual_patterns.csv
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task_categories:
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- image-text-to-text
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- image-segmentation
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---
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# PixMMVP Benchmark
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[Project Page](https://msiam.github.io/PixFoundationSeries/) | [Paper](https://huggingface.co/papers/2502.04192) | [GitHub](https://github.com/msiam/pixfoundation)
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The PixMMVP dataset augments the [MMVP](https://huggingface.co/datasets/MMVP/MMVP) benchmark with referring expressions and corresponding segmentation masks for the objects of interest in their respective questions within the original VQA task.
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The goal of this benchmark is to evaluate the pixel-level visual grounding and visual question answering capabilities of recent pixel-level MLLMs (e.g., OMG-Llava, Llava-G, GLAMM, and LISA).
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# Acknowledgements
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I acknowledge the use of MMVP dataset's images and questions/choices part of building this dataset, the original [MMVP](https://huggingface.co/datasets/MMVP/MMVP).
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# Citation
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Please cite the following work if you find the dataset useful:
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```bibtex
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@article{siam2025pixfoundation,
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title={PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?},
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author={Siam, Mennatullah},
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journal={arXiv preprint arXiv:2502.04192},
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year={2025}
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}
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```
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