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pro vyhledávání: '"Gao, Almanzo Jiahe"'
We introduce two convolutional neural network (CNN) architectures, inspired by the Merriman-Bence-Osher (MBO) algorithm and by cellular automatons, to model and learn threshold dynamics for front evolution from video data. The first model, termed the
Externí odkaz:
http://arxiv.org/abs/2412.09079
