An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation
Crossref DOI link: https://doi.org/10.1007/978-3-319-95921-4_26
Published Online: 2018-08-21
Published Print: 2018
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Berger, Lorenz
Eoin, Hyde
Cardoso, M. Jorge
Ourselin, Sébastien
License valid from 2018-01-01