no code implementations • 12 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.
no code implementations • 21 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.