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- license: mit
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+ license: mit
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+ ---
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+ # Revisiting M3D is all you need
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+ [**Reference Paper**](https://arxiv.org/abs/2404.00578) | [**Code**](https://github.com/babbu3682/AMOS-MM-MI2RL)
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+ # Solution Overview
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+ This code is the 3rd place solution for the MICCAI 2024 AMOS-MM Challenge. It is based on the M3D model and utilizes the LLaMA-3.1-Instruct-7B.
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+
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+ # Novelty
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+ * We divided the body into three regions: chest, abdomen, and pelvis. This allowed us to focus more effectively on these areas and further improve performance through text prompt engineering.
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+ * The introduction of LLaMA-3.1-8B-Instruct significantly boosted MRG and VQA performance.
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+ * Additionally, the use of an error note strategy led to further improvements in the final results.
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+ # Acknowledgement:
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+ We appreciate open source projects including: M3D, LLaVA, LLaMA.