Local feature image matching techniques often fall short when tested on out-of-domain data, leading to diminished model performance. Given the high costs associated with collecting extensive data sets from every image domain, researchers are focusing on improving model architecture to enhance generalization capabilities. Historically, local feature models like SIFT, SURF, and ORB were used in…
