M4Fuse introduces a lightweight state-space MoE architecture with cross-scale dual-stage gating that reduces parameters by 62.63% and improves average performance by 0.09% on BraTS2019 and BraTS2021 even at half the usual input resolution.
Decoupling feature-driven and mul- timodal fusion attention for clothing-changing person re- identification.Artificial Intelligence Review, 58(8):241,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation
M4Fuse introduces a lightweight state-space MoE architecture with cross-scale dual-stage gating that reduces parameters by 62.63% and improves average performance by 0.09% on BraTS2019 and BraTS2021 even at half the usual input resolution.