Sunday, May 2025

02:30 PM - 06:30 PM

Room: LL21BC

Session: Image Segmentation – From the Basics to the State-of-the-Art

Image Segmentation – From the Basics to the State-of-the-Art

• Satya Mallick

  OpenCV

Description:

Part 1 of this short course provides a comprehensive understanding of image segmentation. It begins by defining the problem and its variants, such as semantic segmentation, instance segmentation, panoptic segmentation, and natural image matting. The course briefly reviews traditional computer vision methods, followed by a deep dive into the state-of-the-art deep learning approaches. Finally, it explores foundation models and their potential to revolutionize segmentation tasks with generalization across diverse datasets. Whether you are a beginner or an experienced professional, this course offers valuable insights into the methodologies and trends shaping image segmentation today and tomorrow.