Plan CV

[MohamedBsh]

plan proposé par: @Otsutsukii @RonyAbecidan (Discord : Tao & Rony)

Module I: Introduction

1. Presentation générale, task, domaine, contexte

Module II: Notions générales

1. Traditional CV (SIFT, BRIEF, FLANN, Hough, transforms, Geometric, hashing, bag-of-words approach)
2. ML CV, CamShift or Other shallow classifier, like Boosting, Adaboost based on traditional CV feature
3. ImageNet CNN (loss, cnn backprog, kernels, filters)
4. Deep CNN, Resnet, VGG, Inception, Residual Connections, Vision Transformer
5. Tasks in CV (Post estimation, GAN, Image retrieval, Image classification, Person, Re-identification, Image segmentation, image tracking etc.)

Module III: Spécialisé ++