ETO: Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
–Neural Information Processing Systems
During the coarse matching phase, we organize multiple homography hypotheses to approximate continuous matches. Each hypothesis encompasses several features to be matched, significantly reducing the number of features that require enhancement via transformers.
Neural Information Processing Systems
Oct-10-2025, 05:34:01 GMT