Fig. 2
From: FmCFA: a feature matching method for critical feature attention in multimodal images
The overview of FmCFA. \(x_{q}\) denotes the query image and \(x_{r}\) denotes the reference image. During feature extraction, feature maps of 1/8 and 1/2 sizes are generated. The 1/8 size features are used for coarse matching, while the 1/2 size features are used for fine matching. In the coarse matching phase, the Critical Features Interaction module is applied to enhance attention on coarse-level features, which are then further refined by matching them with the 1/2 size features for fine matching. Finally, the resulting matched features are used to produce the final feature matching.
