Leyi Wang

BAG-Net: Bidirectional Receptive-Field Graph Network for Two-View Correspondence Pruning

Learning reliable two-view correspondences is essential for geometric computer vision applications. Existing graph-based pruning methods typically aggregate information unidirectionally, capturing only whether a correspondence receives neighborhood support while ignoring its structural contribution