| | --- |
| | tags: |
| | - model_hub_mixin |
| | - pytorch_model_hub_mixin |
| | language: |
| | - en |
| | base_model: |
| | - google/vit-base-patch16-224 |
| | - google-bert/bert-base-uncased |
| | --- |
| | |
| | # πΌοΈπ OneEncoder: A Unified Text & Image Model |
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| | **OneEncoder** is a lightweight framework for cross-modal alignment, focusing on efficiently integrating **text and images** (with future extensions to other modalities). Unlike traditional methods relying on massive modality-specific encoders, OneEncoder progressively aligns different data types, making it cost-effective and performant even on small paired datasets. |
| |
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| | ## π Key Features |
| | β
**Multimodal Alignment**: Initially supports **text & image**, with extension to other modalities. |
| | β
**Lightweight & Efficient**: Avoids full retraining when adding new modalities. |
| | β
**Superior Performance**: Outperforms models that require large specialized datasets. |
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| | ## π― Applications |
| | - **Visual Question Answering (VQA)** |
| | - **Image-Text Retrieval** |
| | - **Multimodal Content Understanding** |
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| | ## π Research Paper |
| | π **arXiv**: [OneEncoder: Progressive Cross-Modal Alignment](https://arxiv.org/abs/2409.11059) |
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|
| | ## π Resources |
| | π **GitHub Repo**: [OneEncoder](https://github.com/b-faye/OneEncoder) |
| | π **Hugging Face Demo**: [OneEncoder Retriever](https://huggingface.co/spaces/bilalfaye/OneEncoder-retriever) |
| | π **Demo Notebook**: [OneEncoder Demos](https://github.com/b-faye/OneEncoder/tree/main/demo) |
| | π **OneEncoder for Text, Image with temperature=2.5**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image) |
| | π **OneEncoder for Text, Image & Audio**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-audio) |
| | π **OneEncoder for Text, Image & Video**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-video) |
| | π **OneEncoder for Text, Image & X-ray**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-xray) |
| |
|
| | ## π Authors |
| | π **Bilal FAYE**, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA |
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| | **Note: This model is training with temperature=1.0 and addition as fusion operation** |
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