no code implementations • 29 Apr 2022 • Pablo Azagra, Carlos Sostres, Ángel Ferrandez, Luis Riazuelo, Clara Tomasini, Oscar León Barbed, Javier Morlana, David Recasens, Victor M. Batlle, Juan J. Gómez-Rodríguez, Richard Elvira, Julia López, Cristina Oriol, Javier Civera, Juan D. Tardós, Ana Cristina Murillo, Angel Lanas, José M. M. Montiel
Computer-assisted systems are becoming broadly used in medicine.
Besides, we propose a learning-based approach that aligns the distribution of the semantic classes of the target domain to the source domain.
Fast and efficient semantic segmentation methods are needed to match the strong computational and temporal restrictions of many of these real-world applications.
Ranked #1 on Real-Time 3D Semantic Segmentation on SemanticKITTI