40 citations · 157 across the 30 of their papers we have counts for
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cs.CV2023★ 1 cited
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Bo Jiang, Shuxian Luo, Xiao Wang +2
Learning based feature matching methods have been commonly studied in recent years. The core issue for learning feature matching is to how to learn (1) discriminative representatio…
cs.LG2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
Bo Jiang, Fei Xu, Ziyan Zhang +2
To alleviate the local receptive issue of GCN, Transformers have been exploited to capture the long range dependences of nodes for graph data representation and learning. However,…