29 citations · 30 across the 2 of their papers we have counts for
3 papers
MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs
Rick Groenendijk, Leo Dorst, Theo Gevers
Pooling is essentially an operation from the field of Mathematical Morphology, with max pooling as a limited special case. The more general setting of MorphPooling greatly extends…
Multi-Loss Weighting with Coefficient of Variations
Rick Groenendijk, Sezer Karaoglu, Theo Gevers +1
Many interesting tasks in machine learning and computer vision are learned by optimising an objective function defined as a weighted linear combination of multiple losses. The fina…
On the Benefit of Adversarial Training for Monocular Depth Estimation
Rick Groenendijk, Sezer Karaoglu, Theo Gevers +1
In this paper we address the benefit of adding adversarial training to the task of monocular depth estimation. A model can be trained in a self-supervised setting on stereo pairs o…