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.

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