MAAM is a multi-branch convolutional module with scalar-weighted fusion that reaches 87.0% on CIFAR-10, but it lacks comparisons with modern lightweight networks and its ablation results are internally inconsistent.
Reveal training performance mystery between tensorflow and pytorch in the single gpu environment
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MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework
MAAM is a multi-branch convolutional module with scalar-weighted fusion that reaches 87.0% on CIFAR-10, but it lacks comparisons with modern lightweight networks and its ablation results are internally inconsistent.