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Computer Vision Foundations Class (Summer 2020)

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Lecture 1.1: Scope of the Lecture | Introduction | CVF20

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Lecture 1.2: Linear filters | Convolution | CVF20

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Lecture 1.3: Interactive Semantic Segmentation with ilastik | CVF20

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Lecture 2.1: Human Vision | Imaging | CVF20

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Lecture 2.2: Downsampling an Image | CVF20

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Lecture 2.3: Upsampling | Image Interpolation | CVF20

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Lecture 3.1: Shallow vs Deep Learning | CVF20

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Lecture 3.2: Training of a Neural Network (Introduction) | CVF20

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Lecture 4.1: Convolutional Neural Networks | Image Classification | CVF20

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Lecture 4.2: Training of a Neural Network | Optimization | CVF20

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Lecture 4.3: U-net architecture | Semantic Segmentation | CVF20

Lecture 5.1: Fundamentals of Instance Segmentation | CVF20

Lecture 5.2: Proposal-based Instance Segmentation | CVF20

Lecture 5.3: Hough-transform | CVF20

Lecture 5.4: Instance Segmentation by Similarity Learning | CVF20