19 citations · 32 across the 5 of their papers we have counts for
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cs.CV2023★ 19 cited
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching
Kun Dai, Tao Xie, Ke Wang +3
Local feature matching is an essential component in many visual applications. In this work, we propose OAMatcher, a Tranformer-based detector-free method that imitates humans behav…
cs.CV2023★ 3 cited
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
Tao Xie, Kun Dai, Ke Wang +2
Local feature matching between images remains a challenging task, especially in the presence of significant appearance variations, e.g., extreme viewpoint changes. In this work, we…