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20232026
most citedParaFormer: Parallel Attention Transformer for Efficient Feature Matching

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2023

Scene-Aware Feature Matching

Xiaoyong Lu, Yaping Yan, Tong Wei +1

Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This…

cs.CV2023★ 2 cited

ParaFormer: Parallel Attention Transformer for Efficient Feature Matching

Xiaoyong Lu, Yaping Yan, Bin Kang +1

Heavy computation is a bottleneck limiting deep-learningbased feature matching algorithms to be applied in many realtime applications. However, existing lightweight networks optimi…