Following computer Vision Notes under the Notebook:
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CV01_Intro_CV: Applications and Datasets for Computer Vision Taks and Image filtering.
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CV02_Edge_Detection: Image gradient, edge detectors (Sobel, Canny), Harris corner detector.
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CV03_SIFT: SIFT method: keypoint detection and keypoint description.
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CV04_Image_Transformation: Image transformations, RANSAC.
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CV05_Bag_Of_Visual_Words: Image classification pipeline, Bag of Visual Words.
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CV06_CNN_Basic: Convolutional layers, pooling layers, softmax, cross entropy loss for Convolutional Neural Networks.
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CV07_CNN_Architectures: CNN architectures of AlexNet, VGG, GoogleNet, ResNet, SENet.
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CV08_Object_Detection: Object detection using R-CNN, Fast R-CNN, Faster R-CNN, YOLO.
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CV09_Semantic_Segmentation: Semantic segmentation using FCN, Mask R-CNN, U-Net.