SAM-Med3D-MoE 方法总览 SAM-Med3D 模型由3D Image Encoder,3D Prompt Encoder以及 3D Mask Decoder组成。作者修改模型在 3D Mask Decoder 之前添加了一个 Gating Network,并将微调之前的 3D Mask Decoder 与微调后的 3D Mask Decoder 平行排列(其中微调冻住 Image Encoder 和 Prompt Encoder 的参数,仅仅微调 Ma...
To address this, we propose SAM-Med3D-MoE, a novel framework that seamlessly integrates task-specific finetuned models with the foundational model, creating a unified model at minimal additional training expense for anextra gating network. This gating network, in conjunction with a selection ...