no code implementations • 30 May 2022 • Rolandos Alexandros Potamias, Alexandros Neofytou, Kyriaki-Margarita Bintsi, Stefanos Zafeiriou
To address such limitations and alleviate the computational burden, we propose a learnable network to approximate geodesic paths.