8 citations · 16 across the 2 of their papers we have counts for
4 papers
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Kilian Batzner, Lars Heckler, Rebecca König
Detecting anomalies in images is an important task, especially in real-time computer vision applications. In this work, we focus on computational efficiency and propose a lightweig…
A Hybrid Approach for 6DoF Pose Estimation
Rebecca König, Bertram Drost
We propose a method for 6DoF pose estimation of rigid objects that uses a state-of-the-art deep learning based instance detector to segment object instances in an RGB image, follow…
Oriented Boxes for Accurate Instance Segmentation
Patrick Follmann, Rebecca König
State-of-the-art instance-aware semantic segmentation algorithms use axis-aligned bounding boxes as an intermediate processing step to infer the final instance mask output. This of…
MVTec D2S: Densely Segmented Supermarket Dataset
Patrick Follmann, Tobias Böttger, Philipp Härtinger +2
We introduce the Densely Segmented Supermarket (D2S) dataset, a novel benchmark for instance-aware semantic segmentation in an industrial domain. It contains 21,000 high-resolution…