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README.md
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@@ -26,7 +26,7 @@ We propose a MLLM based on Inner-Adaptor Architecture (IAA). IAA demonstrates th
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/iaa/overview.png" width=80%/>
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</p>
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### Main Results on General Multimodal Benchmarks.
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/iaa/mmresult.png" width=90%/>
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</p>
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### Results on Visual Grounding Benchmarks.
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<!-- grounding_re -->
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/iaa/grounding_re.png" width=90%/>
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</p>
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### Comparison on text-only question answering.
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<!-- grounding_re -->
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/iaa/NLPresult.png" width=90%/>
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</p>
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## Quick Start 🤗
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/blob/main/iaa/overview.png" width=80%/>
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</p>
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### Main Results on General Multimodal Benchmarks.
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/blob/main/iaa/mmresult.png" width=90%/>
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</p>
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### Results on Visual Grounding Benchmarks.
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<!-- grounding_re -->
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/blob/main/iaa/grounding_re.png" width=90%/>
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</p>
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### Comparison on text-only question answering.
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<!-- grounding_re -->
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<p align="center">
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<img src="https://github.com/360CVGroup/Inner-Adaptor-Architecture/blob/main/iaa/NLPresult.png" width=90%/>
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</p>
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## Quick Start 🤗
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