2025
NCNet: Learning to Find Non-Consistent Correspondence Using Learnable Frequency Response Function
ICASSP 2025accepted
False correspondence removal is a persistent challenge in image feature-matching-based applications, especially in complex scenes. Traditional methods often rely on the consistency assumption to model the motion of correct correspondences, which neglects non-consistent correct correspondences, resul…