Table of Contents
Summer School in Computer Vision at Ukrainian Catholic University (2017)
Alexander Shekhvtsov, Kostiantyn Antonuk
Statistical Decision Theory in Computer Vision, Structured Prediction and Learning
General Information
Program
Teaching Materials
| Topic | Lecture | Practical |
|---|---|---|
| From Uncertainty and everything Bayesian to SVMs | lectures_d1.pdf | assignment.pdf excercises.pdf |
| Structured prediction - MRF, CRF, Energy minimization | lectures_d2_1.pdf | |
| Learning for structured prediction | ||
| CNN+CRF stereo | lectures_d3_1a.pdf | |
| Structured SVM, cutting plane, localization methods | ssvm_cp.pdf | ocr.pdf |
| Facial Landmarks | ssvm_flandmark.pdf | landmarks.pdf |
Code and data for assignments
Will be also published on github
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