Computer Vision for Beginners,
Feature vectors, Feature Space, and Quantization,
Metrics (Distance and Similarity),
Global and Local Features (Color Histograms, LBP, SIFT),
L2 • Lecture 2 - Image Processing 1 - Disp...
L3 • Lecture 3 - Image Processing 2 - Edge...
L4 • Lecture 4 - Feature Extraction - Feat...
L5 • Lecture 5 - Image Retrieval - Cluster...
L6 • Lecture 6 - Image Classification - kN...
L7 • Lecture 7 - Traditional vs. Deep Lear...
L8 • Lecture 8 - Deep Image Retrieval - Fe...
L9 • Lecture 9 -CAM, Attentions, Transform...
L10 • Lecture 10 - Detection & Segmentation...
L11 • Lecture 11 - Learning paradigms - Com...
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