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license: mit
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# Revisiting M3D is all you need
[**Reference Paper**](https://arxiv.org/abs/2404.00578) | [**Code**](https://github.com/babbu3682/AMOS-MM-MI2RL)
# Solution Overview
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.
# Novelty
* 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.
* The introduction of LLaMA-3.1-8B-Instruct significantly boosted MRG and VQA performance.
* Additionally, the use of an error note strategy led to further improvements in the final results.
# Acknowledgement:
We appreciate open source projects including: M3D, LLaVA, LLaMA.
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