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Transparency Distortion Robustness for SOTA Image Segmentation Tasks
The robustness of semantic segmentation models against distribution shifts caused by differing camera or lighting setups, lens distortions, adversarial inputs and image corruptions has been topic of recent research.
Influence of Water Droplet Contamination for Transparency Segmentation
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.
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Instead of chroma keying, we propose luminance keying for fast and straightforward training image acquisition.
Extending 6D Object Pose Estimators for Stereo Vision
Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task.
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
In safety-critical domains such as autonomous driving and medical diagnosis, the reliability of machine learning models is crucial.
