2 citations · 4 across the 11 of their papers we have counts for
3 papers · 1 filter
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris Hillemann +2
We propose an approach for Open-World Instance Segmentation (OWIS), a task that aims to segment arbitrary unknown objects in images by generalizing from a limited set of annotated…
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
Mykhailo Koshil, Tilman Wegener, Detlef Mentrup +2
Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an im…
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Kelm, Niels Hannemann, Bruno Heberle +5
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new…