1 code implementation • 8 Oct 2020 • L. Chauvin, M. Ben Lazreg, J. B. Carluer, W. Wells, M. Toews
We propose a unified appearance model accounting for traditional shallow (i. e. 3D SIFT keypoints) and deep (i. e. CNN output layers) image feature representations, encoding respectively specific, localized neuroanatomical patterns and rich global information into a single indexing and classification framework.