Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm

no code implementations • 20 Jul 2020 • Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc, Stefan Duffner, Christophe Garcia

Moreover, the trade-off between the sparsity and the accuracy is compared to other loss regularization terms based on the l1 or l2 norm as well as the SSL, NISP and GAL methods and shows that our approach is outperforming them.

2D Wasserstein Loss for Robust Facial Landmark Detection

no code implementations • 24 Nov 2019 • Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau

The recent performance of facial landmark detection has been significantly improved by using deep Convolutional Neural Networks (CNNs), especially the Heatmap Regression Models (HRMs).

Facial Landmark Detection

Facial Landmark Correlation Analysis

no code implementations • 24 Nov 2019 • Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau

We propose two applications based on this analysis.

Facial Landmark Detection Few-Shot Learning +2