no code implementations • 23 Nov 2023 • Marc Schachtsiek, Simone Rossi, Thomas Hannagan
The more balanced labels increase minority class performance, which in turn allows the model to outperform the previous baseline by 0. 6, 1. 7, and 2. 4 mIoU for budgets of 5%, 10%, and 20%, respectively.
1 code implementation • 13 Jun 2022 • Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Deep neural networks are the state of the art in many computer vision tasks.
1 code implementation • 13 Jun 2022 • Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Structured pruning is a popular method to reduce the cost of convolutional neural networks, that are the state of the art in many computer vision tasks.
1 code implementation • 20 Nov 2020 • Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
Introduced in the late 1980s for generalization purposes, pruning has now become a staple for compressing deep neural networks.