2 papers
cs.CV2024
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…
cs.CV2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao +7
Fine-grained and instance-level recognition methods are commonly trained and evaluated on specific domains, in a model per domain scenario. Such an approach, however, is impractica…