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* **Objective**: To solve the key challenge of integrating the visual content of **specific objects** in an image with their **associated text** for comprehensive understanding.
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* **Method**: Trained with the **RCVIT(Region-level Context-aware Visual Instruction Tuning)** method and **RCMU** dataset, it uses **bounding boxes** to precisely link visual content with text.
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* **Performance & Applications**: It achieves outstanding performance on RCMU tasks and is successfully applied in advanced scenarios like **multimodal RAG** and **personalized conversation**.
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## Refer to Qwen2-VL for the requirements:
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* **Objective**: To solve the key challenge of integrating the visual content of **specific objects** in an image with their **associated text** for comprehensive understanding.
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| 22 |
* **Method**: Trained with the **RCVIT(Region-level Context-aware Visual Instruction Tuning)** method and **RCMU** dataset, it uses **bounding boxes** to precisely link visual content with text.
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* **Performance & Applications**: It achieves outstanding performance on RCMU tasks and is successfully applied in advanced scenarios like **multimodal RAG** and **personalized conversation**.
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## Refer to Qwen2-VL for the requirements:
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