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OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching

Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a detector-free method that imitates humans behavior to realize accurate and dense local feature matching.

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Cite this as

Kun Dai, Tao Xie, Ke Wang, Zhiqiang Jiang, Ruifeng Li, Lijun Zhao (2024). Dataset: OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching. https://doi.org/10.57702/zavf8owl

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Kun Dai
More Authors	Tao Xie Ke Wang Zhiqiang Jiang Ruifeng Li Lijun Zhao
Homepage	https://github.com/DK-HU/OAMatcher