March 19, 2024, 4:47 a.m. | Gergely Szilvasy, Pierre-Emmanuel Mazar\'e, Matthijs Douze

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.10746v1 Announce Type: new
Abstract: In recent years, the dominant accuracy metric for vector search is the recall of a result list of fixed size (top-k retrieval), considering as ground truth the exact vector retrieval results. Although convenient to compute, this metric is distantly related to the end-to-end accuracy of a full system that integrates vector search. In this paper we focus on the common case where a hard decision needs to be taken depending on the vector retrieval results, …

abstract accuracy arxiv compute cs.cv cs.db list recall results retrieval search small the end truth type vector vector search

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571