298 citations · 371 across the 19 of their papers we have counts for
4 papers · 1 filter
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
Dmytro Mishkin, Filip Radenovic, Jiri Matas
A method for learning local affine-covariant regions is presented. We show that maximizing geometric repeatability does not lead to local regions, a.k.a features,that are reliably…
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenović, Giorgos Tolias, Ondřej Chum
Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, compactness of representat…
Deep Shape Matching
Filip Radenović, Giorgos Tolias, Ondřej Chum
We cast shape matching as metric learning with convolutional networks. We break the end-to-end process of image representation into two parts. Firstly, well established efficient m…
Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic +1
We introduce a novel loss for learning local feature descriptors which is inspired by the Lowe's matching criterion for SIFT. We show that the proposed loss that maximizes the dist…