[arXiv] [CVPRW2023] accepted at CVPR2023 workshop on CVFAD as an oral paper (acceptance rate = 18.5%) Set-to-set matching is the problem of matching two different sets of items based on some criteria. Especially when each item in the set is high-dimensional, such as an image, set-to-set matching is treated as one of the applied problems to be solved by utilizing neural networks. Most machine learn
