This code allows to train a CNN model to predict a good map of penalizations for the different term of an Active Contour Model (ACM) such that the result gets close to a set of ground truth contours, as presented in [1] (to appear in ACCV 2020).
A preprint of the paper can be found in https://arxiv.org/pdf/2009.08720.pdf
ScenicOrNot (TSV file that contains the scores and image URLs)
Please contact me at diego.marcos@wur.nl for questions and feedback.
[1] Marcos, D., Fong, R., Lobry, S., Flamary, R., Courty, N. & Tuia, D. Contextual Semantic Interpretability. ACCV 2020.