Comparison of the matching strategies for local feature descriptor
Self-contained in jupyter notebook.
Related post on medium: How to match: to learn or not to learn
Matching strategies implemented:
Siamese and triplet networks with online pair/triplet mining in PyTorch
PyTorch implementation of Hessian-Affine local feature detector
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½β...
Kaggle Humpback whale identification: 2xGPU Data augmentation + FP16 mixed precision training
Pytorchβ€οΈ Keras ππ
PyTorch implementation of SIFT descriptor
MODS with external deep descriptors/detectors
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Represent...