677 citations · 769 across the 45 of their papers we have counts for
4 papers · 1 filter
Large-to-small Image Resolution Asymmetry in Deep Metric Learning
Pavel Suma, Giorgos Tolias
Deep metric learning for vision is trained by optimizing a representation network to map (non-)matching image pairs to (non-)similar representations. During testing, which typicall…
Results and findings of the 2021 Image Similarity Challenge
Zoë Papakipos, Giorgos Tolias, Tomas Jenicek +11
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition…
The Met Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han +3
This work introduces a dataset for large-scale instance-level recognition in the domain of artworks. The proposed benchmark exhibits a number of different challenges such as large…
Edge Augmentation for Large-Scale Sketch Recognition without Sketches
Nikos Efthymiadis, Giorgos Tolias, Ondrej Chum
This work addresses scaling up the sketch classification task into a large number of categories. Collecting sketches for training is a slow and tedious process that has so far prec…