AINeutralarXiv – CS AI · 8h ago5/10
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SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning
Researchers introduce SFMambaNet, a novel deep learning architecture that combines spectral-frequency analysis with Mamba-based state space models to improve correspondence pruning—the task of filtering accurate feature matches from noisy initial sets. The method outperforms existing Graph Neural Network approaches by integrating frequency domain perception to better distinguish valid correspondences from outliers.