3 papers
cs.CV2024
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Volker Knauthe, Arne Rak, Tristan Wirth +4
Semantic Image Segmentation facilitates a multitude of real-world applications ranging from autonomous driving over industrial process supervision to vision aids for human beings.…
cs.CV2024
Influence of Water Droplet Contamination for Transparency Segmentation
Volker Knauthe, Paul Weitz, Thomas Pöllabauer +4
Computer vision techniques are on the rise for industrial applications, like process supervision and autonomous agents, e.g., in the healthcare domain and dangerous environments. W…
cs.CV2024
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Thomas Pöllabauer, Volker Knauthe, André Boller +2
Deep Neural Networks (DNNs) require large amounts of annotated training data for a good performance. Often this data is generated using manual labeling (error-prone and time-consum…