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DSG

Computer Vision - Advance


Description
This final course in the Computer Vision series introduces the concepts of image segmentation, starting with classical ML techniques to State-of-the-Art image segmentation models in the era of CNNs.
Content
  • Introduction
  • Introduction to Image Segmentation
  • LabelMe - Annotation Tool for Image Segmentation
  • Classical Methods
  • Classical or ML Methods for Image Segmentation
  • Watershed Segmentation - Demonstration
  • Assignment on Classical Methods in Image Segmentation
  • Deep Learning Concepts for Image Segmentation
  • Deep Learning for Image Segmentation
  • MCQ Assignment
  • State-of-The-Art
  • Description of Some Modern CNN architectures for Image Segmentation
  • Evaluation of Segmentation Models
  • Evaluation Metrics
  • Assessment
Completion rules
  • All units must be completed
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