most citedAll Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes

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cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV20231 cited

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.…

cs.CV20231 cited

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…