Pelin Dogan-Schönberger

Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations

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 impractical in real large-scale applications. In this work, we address the problem of universal image embedding, where a single un…