SGFormer: Structure-Guided Transformer for Robust Local Feature Matching
SGFormer (Structure-Guided Transformer), a novel structure-aware matching network that adaptively updates attention on features near salient structure in overlapping regions that significantly mitigates attention divergence and improves matching accuracy is proposed.