29 citations · 30 across the 3 of their papers we have counts for
3 papers · 1 filter
HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation
Rick Groenendijk, Leo Dorst, Theo Gevers
Signals from different modalities each have their own combination algebra which affects their sampling processing. RGB is mostly linear; depth is a geometric signal following the o…
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…