Add pipeline tag, paper, and code links to model card
Browse filesThis PR enhances the model card for `matanru/TalkingPoints` by:
- Adding the `pipeline_tag: image-to-text` to improve discoverability for users looking for models that describe images.
- Linking to the official paper: [Talking Points: Describing and Localizing Pixels](https://huggingface.co/papers/2510.14583).
- Linking to the GitHub repository for easy access to the code and further details: [https://github.com/matanr/Talking_Points](https://github.com/matanr/Talking_Points).
These updates provide essential information and improve the model's visibility on the Hugging Face Hub.
README.md
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license: apache-2.0
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license: apache-2.0
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pipeline_tag: image-to-text
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# Talking Points: Describing and Localizing Pixels
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This repository contains the Point Descriptor and Point Localizer models presented in the paper [Talking Points: Describing and Localizing Pixels](https://huggingface.co/papers/2510.14583).
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Talking Points introduces a novel framework for pixel-level grounding. It consists of two complementary components: a Point Descriptor that generates rich, contextual descriptions of individual keypoints, and a Point Localizer that regresses precise pixel coordinates from these descriptions. Unlike prior work, our approach produces free-form, coarse-to-fine descriptions that situate keypoints within their visual context.
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<div align="center">
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<img src="https://github.com/matanr/Talking_Points/raw/master/images/teaser.png" alt="Talking Points Teaser Image">
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</div>
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For detailed information on installation, dataset creation, training, and evaluation scripts, please refer to the official [GitHub repository](https://github.com/matanr/Talking_Points).
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