69 citations · 72 across the 9 of their papers we have counts for
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Fast Panoptic Segmentation Network
Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
In this work, we present an end-to-end network for fast panoptic segmentation. This network, called Fast Panoptic Segmentation Network (FPSNet), does not require computationally co…
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision
Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman
Training convolutional networks for semantic segmentation with strong (per-pixel) and weak (per-bounding-box) supervision requires a large amount of weakly labeled data. We propose…
On Boosting Semantic Street Scene Segmentation with Weak Supervision
Panagiotis Meletis, Gijs Dubbelman
Training convolutional networks for semantic segmentation requires per-pixel ground truth labels, which are very time consuming and hence costly to obtain. Therefore, in this work,…
Single Network Panoptic Segmentation for Street Scene Understanding
Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
In this work, we propose a single deep neural network for panoptic segmentation, for which the goal is to provide each individual pixel of an input image with a class label, as in…