CVPR2025
JamMa: Ultra-lightweight Local Feature Matching with Joint Mamba
Xiaoyong Lu, Songlin Du
Abstract
Figure 1. Efficiency vs. Performance. State-of-the-art sparse and semi-dense methods are compared in the MegaDepth dataset [19]. In all three commonly used efficiency metrics, the proposed JamMa achieves a superior performance-efficiency balance by a clear margin.