MuViSeg: Multi-View Segment Correspondences from Dense Geometry Priors
MuViSeg proposes a joint matching mechanism to robustly match object segments across multiple views, especially in wide-baseline scenarios where traditional methods fail. By scoring segments from several views simultaneously using a learned attention head, the method recovers transitive correspondences that pairwise matchers miss, significantly improving topological navigation performance.