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[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

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Hi! Mentioned that your paper has two Subtract operations which confuses me. Can I just consider them as decouple?

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Sorry to bother you. Hello, I have read your paper and found it very impressive. I have a small question: can I use the CA module you proposed to replace...

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请问为什么xtiny的depths是(3,3,12,2)但是small版本的depths是(2,3,12,2),small版本第一阶段depths为2是一个特殊的设置吗?

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![2c4436b1-73c3-4cb9-9ffa-8312b8790a92](https://github.com/Westlake-AI/MogaNet/assets/104781102/93f1d5ad-5ddb-4e20-a086-ad33be940836) May I ask why concatenation is not used for feature aggregation in the Spatial Aggregation block?

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Package Version ------------------------ ------------------ certifi 2024.7.4 charset-normalizer 3.3.2 filelock 3.15.4 fsspec 2024.6.1 fvcore 0.1.5.post20221221 huggingface-hub 0.24.6 idna 3.7 iopath 0.1.10 Jinja2 3.1.4 MarkupSafe 2.1.5 mpmath 1.3.0 networkx 3.1 numpy 1.24.4...

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