Interactive Segmentation

© Universität Augsburg
© Universität Augsburg
© Universität Augsburg

Interactive Segmentation is the problem of segmenting objects in an image with the help of user guidance. The goal is to create a segmentation mask which covers the area of a particular object in an image. In order to do so, the user provides some form of hint regarding the objects position to the model. Moste often these hints take the form of right / left mouse clicks that indicate that single pixels either belong to the background or foreground. Applications which make use of methods belonging to this problem are mostly related to data annotation or image editing software.


We focus on finding methods to aid interactive segmentation systems in performing on novel data.


For more information contact Robin Schön.



  • Robin Schön, Katja Ludwig and Rainer Lienhart. 2023. Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance. CVPR Open Access 
  • Robin Schön, Katja Ludwig, Julian Lorenz and Rainer Lienhart. 2024. Adapting the Segment Anything Model During Usage in Novel Situations. arXiv