6 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
Composed Image Retrieval for Training-Free Domain Conversion
Nikos Efthymiadis, Bill Psomas, Zakaria Laskar +4
This work addresses composed image retrieval in the context of domain conversion, where the content of a query image is retrieved in the domain specified by the query text. We show…
Co-Segmentation without any Pixel-level Supervision with Application to Large-Scale Sketch Classification
Nikolaos-Antonios Ypsilantis, Ondřej Chum
This work proposes a novel method for object co-segmentation, i.e. pixel-level localization of a common object in a set of images, that uses no pixel-level supervision for training…
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization
Nikos Efthymiadis, Giorgos Tolias, Ondřej Chum
Single-source domain generalization attempts to learn a model on a source domain and deploy it to unseen target domains. Limiting access only to source domain data imposes two key…
UDON: Universal Dynamic Online distillatioN for generic image representations
Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araujo +1
Universal image representations are critical in enabling real-world fine-grained and instance-level recognition applications, where objects and entities from any domain must be ide…