2 code implementations • CVPR 2018 • Filip Radenović, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum
In particular, annotation errors, the size of the dataset, and the level of challenge are addressed: new annotation for both datasets is created with an extra attention to the reliability of the ground truth.
13 code implementations • 3 Nov 2017 • Filip Radenović, Giorgos Tolias, Ondřej Chum
We show that both hard-positive and hard-negative examples, selected by exploiting the geometry and the camera positions available from the 3D models, enhance the performance of particular-object retrieval.
Ranked #9 on Image Retrieval on RParis (Medium)
2 code implementations • ECCV 2018 • Filip Radenović, Giorgos Tolias, Ondřej Chum
We cast shape matching as metric learning with convolutional networks.
Ranked #1 on Sketch-Based Image Retrieval on Chairs (using extra training data)
5 code implementations • 8 Apr 2016 • Filip Radenović, Giorgos Tolias, Ondřej Chum
Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in many computer vision tasks.
Ranked #5 on Image Retrieval on Par6k