EM-driven unsupervised learning for efficient motion segmentation

1 code implementation • 6 Jan 2022 • Etienne Meunier, Anaïs Badoual, Patrick Bouthemy

The core idea of our work is to leverage the Expectation-Maximization (EM) framework in order to design in a well-founded manner a loss function and a training procedure of our motion segmentation neural network that does not require either ground-truth or manual annotation.

Data Augmentation Motion Segmentation +3