Planning
Course 1: Computer Vision basics (SIFT and BoW) and classification with SVM
Course 2: Introduction to Neural Networks
Course 3: Convolutional Neural Nets
Course 4: Large ConvNets & Transformers for Vision
Course 5: Detection and Segmentation with Transformers +slides_Norm
Course 6: Segmentation with CNNs and Transfer learning and Domain adaptation
Course 7: Generative models with GANs
Course 8: Generative models (2): Conditional GANs and diffusion models
Course 9: Large VL models: CLIP, VLM-LLM
Course 10: 8h30 8 janvier 2025 controle de cours, sur tout ce que a été traité durant le cours, rien concernant les TPs.
Further reading (available at SorbonneU library):
Book Deep Learning, I. Goodfellow, Y. Bengio, A. Courville
Book Machine Learning Techniques for Multimedia, M. Cord, P. Cunningham (Eds.)