2 papers
cs.LG2026
Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives
Songlin Du, Xiaoyong Lu, Zeyu Wu +5
Cross-view feature matching aims to establish reliable correspondences across images with large viewpoint variations. Over the past decade, the field has evolved from task-specific…
cs.CV2026
SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Songlin Du, Xiaoyong Lu, Yaping Yan +3
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local natur…