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vision-tutorial

Course materials used in computer vision tutorial 2019. Jupyter Notebook are executable on Google Colab.

Related Courses @ Korea University

  • Advanced Machine Learning (CVH125)
  • Deep Learning (COSE474)
  • Comptuer Vision (AAA534)

Instructor

  • Hyunwoo J. Kim

Contributors

  • Dasol Hwang
  • Sihyeon Kim
  • Seungdong Yoa

Contents

  1. Introduction to Neural Networks using PyTorch
  2. Template Matching
  3. Seam Carving
  4. Edge Detection
  5. Introduction to Neural Networks in PyTorch
  6. Introduction to Convolutional_Neural_Network
  7. Object Detection 1
  8. Object Detection 2
  9. Multiple Object Tracking (MOT)
  10. Semantic Segmentation
  11. Style Transfer with CycleGAN

Reference

  1. Introduction to Colab