Classification d’images#
(à venir)
Lectures
Image-to-Image Translation with Conditional Adversarial Networks, Image to Image demo
Image-to-Image Translation with Conditional Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
YOLO9000: Better, Faster, Stronger : détection en temps d’objets sur des images ou dans une vidéo, le code est sur github darknet, wrapper Python : darknetpy, demo
SSD: Single Shot MultiBox Detector (voir aussi caffe/ssd)
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Learning Transferable Architectures for Scalable Image Recognition
Algorithmes
Outils
Modules
hed (Holistically-Nested Edge Detection)
tous les modules de l-deep-learning
plat (Utilities for exploring generative latent spaces as described in the Sampling Generative Networks paper.)
Modèles pré-entraînés