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pro vyhledávání: '"Engstler, Paul"'
3D scene generation has quickly become a challenging new research direction, fueled by consistent improvements of 2D generative diffusion models. Most prior work in this area generates scenes by iteratively stitching newly generated frames with exist
Externí odkaz:
http://arxiv.org/abs/2404.19758
Self-supervised learning (SSL) can be used to solve complex visual tasks without human labels. Self-supervised representations encode useful semantic information about images, and as a result, they have already been used for tasks such as unsupervise
Externí odkaz:
http://arxiv.org/abs/2311.14665
Autor:
Engstler, Paul, Keicher, Matthias, Schinz, David, Mach, Kristina, Gersing, Alexandra S., Foreman, Sarah C., Goller, Sophia S., Weissinger, Juergen, Rischewski, Jon, Dietrich, Anna-Sophia, Wiestler, Benedikt, Kirschke, Jan S., Khakzar, Ashkan, Navab, Nassir
Do black-box neural network models learn clinically relevant features for fracture diagnosis? The answer not only establishes reliability quenches scientific curiosity but also leads to explainable and verbose findings that can assist the radiologist
Externí odkaz:
http://arxiv.org/abs/2203.16273