176 citations · 274 across the 36 of their papers we have counts for
6 papers · 1 filter
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers
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 Tra…
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images
Daan de Geus, Gijs Dubbelman
Unified panoptic segmentation methods are achieving state-of-the-art results on several datasets. To achieve these results on high-resolution datasets, these methods apply crop-bas…
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Ariyan Bighashdel, Daan de Geus, Pavol Jancura +1
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 t…
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
Ariyan Bighashdel, Daan de Geus, Pavol Jancura +1
Learning anticipation is a reasoning paradigm in multi-agent reinforcement learning, where agents, during learning, consider the anticipated learning of other agents. There has bee…
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs
Kurt Stolle, Gijs Dubbelman
Depth-aware video panoptic segmentation is a promising approach to camera based scene understanding. However, the current state-of-the-art methods require costly video annotations…
Training Semantic Segmentation on Heterogeneous Datasets
Panagiotis Meletis, Gijs Dubbelman
We explore semantic segmentation beyond the conventional, single-dataset homogeneous training and bring forward the problem of Heterogeneous Training of Semantic Segmentation (HTSS…