most citedDistributional loss for convolutional neural network regression and application to GNSS multi-path estimation

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection

Antoine Blais, Nicolas Couëllan

The main objective of this study is to propose an optimal transport based semi-supervised approach to learn from scarce labelled image data using deep convolutional networks. The p…

cs.CV2022★ 2 cited

Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation

Thomas Gonzalez, Antoine Blais, Nicolas Couëllan +1

Convolutional Neural Network (CNN) have been widely used in image classification. Over the years, they have also benefited from various enhancements and they are now considered as…