Deep Learning, Artificial Intelligence, Semantic Segmentation, Weakly Supervised, Semi Supervised Learning.
following probabilistic graphical model: The expected complete-data log-likelihood given the previous parameter estimate θ′ is: where a hard-EM approximation can be adopted, estimating in the E-step of the algorithm the latent segmentation by: 2.1. EM-Fixed Weakly-Supervised Methods (Image-Level