Search Results for author: Anaïs Badoual

Found 1 papers, 1 papers with code

EM-driven unsupervised learning for efficient motion segmentation

1 code implementation6 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 +1

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