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Plan CV #44
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plan proposé par: @Otsutsukii @RonyAbecidan (Discord : Tao & Rony)
Module I: Introduction
- Presentation générale, task, domaine, contexte
Module II: Notions générales
- Traditional CV (SIFT, BRIEF, FLANN, Hough, transforms, Geometric, hashing, bag-of-words approach)
- ML CV, CamShift or Other shallow classifier, like Boosting, Adaboost based on traditional CV feature
- ImageNet CNN (loss, cnn backprog, kernels, filters)
- Deep CNN, Resnet, VGG, Inception, Residual Connections, Vision Transformer
- Tasks in CV (Post estimation, GAN, Image retrieval, Image classification, Person, Re-identification, Image segmentation, image tracking etc.)
Module III: Spécialisé ++
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