April 27, 2022, 1:10 a.m. | Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch

cs.CV updates on arXiv.org arxiv.org

In this industry talk at ECIR 2022, we illustrate how we approach the main
challenges from large scale cross-domain content-based image retrieval using a
cascade method and a combination of our visual search and classification
capabilities. Specifically, we present a system that is able to handle the
scale of the data for e-commerce usage and the cross-domain nature of the query
and gallery image pools. We showcase the approach applied in real-world
e-commerce snap and search use case and its …

application arxiv commerce e-commerce image retrieval scaling search

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Associate (Data Science/Information Engineering/Applied Mathematics/Information Technology)

@ Nanyang Technological University | NTU Main Campus, Singapore

Associate Director of Data Science and Analytics

@ Penn State University | Penn State University Park

Student Worker- Data Scientist

@ TransUnion | Israel - Tel Aviv

Vice President - Customer Segment Analytics Data Science Lead

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India

Middle/Senior Data Engineer

@ Devexperts | Sofia, Bulgaria