Kiril Lomakin

Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning

Automated product recognition is a cornerstone of modern retail intelligence; however, accurately matching real-world, in-store images against extensive corporate catalogs remains a major scalability bottleneck for large-scale applications. In this work, we address this challenge by reformulating the task as an embeddi...