Search Results for author: Robby Neven

Found 2 papers, 0 papers with code

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty

no code implementations12 Oct 2021 Robby Neven, Davy Neven, Bert de Brabandere, Marc Proesmans, Toon Goedemé

In this paper, we present a new loss function to train a segmentation network with only a small subset of pixel-perfect labels, but take the advantage of weakly-annotated training samples in the form of cheap bounding-box labels.

Segmentation Weakly supervised Semantic Segmentation +1

Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules

no code implementations21 Sep 2020 Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé

By first training the SGMs in a meta-learning manner on a set of common objects, during fine-tuning, the SGMs provided the model with accurate gradients to successfully learn to grasp new objects.

Meta-Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.