69 citations · 72 across the 9 of their papers we have counts for
3 papers · 1 filter
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman
We propose a normalization layer for unsupervised domain adaption in semantic scene segmentation. Normalization layers are known to improve convergence and generalization and are p…
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network
Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
We present a single network method for panoptic segmentation. This method combines the predictions from a jointly trained semantic and instance segmentation network using heuristic…
Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation
Panagiotis Meletis, Gijs Dubbelman
We propose a convolutional network with hierarchical classifiers for per-pixel semantic segmentation, which is able to be trained on multiple, heterogeneous datasets and exploit th…