no code implementations • 18 Apr 2024 • Tommie Kerssies, Daan de Geus, Gijs Dubbelman
The benchmarking setup recommended in this paper enables a performance analysis of VFMs for semantic segmentation.
1 code implementation • CVPR 2023 • Chenyang Lu, Daan de Geus, Gijs Dubbelman
This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use Vision Transformers (ViTs).
2 code implementations • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 • Daan de Geus, Gijs Dubbelman
Unified panoptic segmentation methods are achieving state-of-the-art results on several datasets.
Ranked #5 on Panoptic Segmentation on Mapillary val
no code implementations • 4 Apr 2023 • Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman
Learning anticipation in Multi-Agent Reinforcement Learning (MARL) is a reasoning paradigm where agents anticipate the learning steps of other agents to improve cooperation among themselves.
1 code implementation • CVPR 2021 • Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman
In this work, we introduce the new scene understanding task of Part-aware Panoptic Segmentation (PPS), which aims to understand a scene at multiple levels of abstraction, and unifies the tasks of scene parsing and part parsing.
Ranked #2 on Image Segmentation on Pascal Panoptic Parts
4 code implementations • 16 Apr 2020 • Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman
In this technical report, we present two novel datasets for image scene understanding.
no code implementations • 9 Oct 2019 • Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
For lower resolutions of the Cityscapes dataset and for the Pascal VOC dataset, FPSNet runs at 22 and 35 frames per second, respectively.
1 code implementation • 7 Feb 2019 • Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
Our network is evaluated on two street scene datasets: Cityscapes and Mapillary Vistas.
no code implementations • CoRR 2019 • Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
For instance segmentation, a Mask R-CNN type of architecture is used, while the semantic segmentation branch is augmented with a Pyramid Pooling Module.
Ranked #11 on Panoptic Segmentation on Mapillary val