A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images

3 code implementations • 4 Jul 2020 • Issam Laradji, Pau Rodriguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai

Thus, we propose a consistency-based (CB) loss function that encourages the output predictions to be consistent with spatial transformations of the input images.

Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

1 code implementation • 30 Aug 2019 • Lironne Kurzman, David Vazquez, Issam Laradji

We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time.

Object Segmentation +2