1 citations · 3 across the 7 of their papers we have counts for
7 papers
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation
Robin Schön, Daniel Kienzle, Rainer Lienhart
In this paper we introduce a new dataset containing instance segmentation masks for ten different categories of winter sports equipment, called WSESeg (Winter Sports Equipment Segm…
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation
Daniel Kienzle, Marco Kantonis, Robin Schön +1
Utilizing transformer architectures for semantic segmentation of high-resolution images is hindered by the attention's quadratic computational complexity in the number of tokens. A…
A Review and Efficient Implementation of Scene Graph Generation Metrics
Julian Lorenz, Robin Schön, Katja Ludwig +1
Scene graph generation has emerged as a prominent research field in computer vision, witnessing significant advancements in the recent years. However, despite these strides, precis…
Adapting the Segment Anything Model During Usage in Novel Situations
Robin Schön, Julian Lorenz, Katja Ludwig +1
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct…
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes
Katja Ludwig, Julian Lorenz, Robin Schön +1
Performance analyses based on videos are commonly used by coaches of athletes in various sports disciplines. In individual sports, these analyses mainly comprise the body posture.…
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance
Robin Schön, Katja Ludwig, Rainer Lienhart
Pseudo depth maps are depth map predicitions which are used as ground truth during training. In this paper we leverage pseudo depth maps in order to segment objects of classes that…
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings
Daniel Kienzle, Julian Lorenz, Robin Schön +2
Since COVID strongly affects the respiratory system, lung CT-scans can be used for the analysis of a patients health. We introduce a neural network for the prediction of the severi…