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The code shared as segmamba.py is very different from the proposed SegMamba in the paper (as presented in Fig. 1). Specifically, I made the following observations immediately:
The sequence of operations in the GSC module differs from that shown in Fig. 2. (a). There is no multiplication operation in its code.
In my experiments, I found that the addition operation is more stable than the multiplication operation in certain datasets. However, I cannot ensure this holds true for all datasets, so you might want to try both.
They have installed the original Mamba block instead of the modified Mamba block available at this link. To quickly resolve their errors and run the code successfully, I suggest they remove the parameter bimamba_type == "v3" and run using the original Mamba temporally.
In the acknowledgment section of this repository, I have mentioned multiple repositories, including Monai. This is because I have referred to some codes from Monai, including the blocks from UNETR you mentioned.
The code shared as
segmamba.py
is very different from the proposed SegMamba in the paper (as presented in Fig. 1). Specifically, I made the following observations immediately:GSC
module differs from that shown in Fig. 2. (a). There is no multiplication operation in its code.tri-orientated Mamba (ToM)
module." Your response to a similar query indicates using a ready-made block from the original paper "Mamba: Linear-Time Sequence Modeling with Selective State Spaces."Feature-level Uncertainty Estimation (FUE)
is missing.The response to the above observation would be highly appreciated.
Thank you for your time and consideration.
共享为
segmamba.py
的代码与论文中提出的 SegMamba 有很大不同(如图 1 所示)。具体来说,我立即做出了以下观察:对上述观察的回复将不胜感激。
感谢您的时间和考虑。
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