Sept. 22, 2022, 1:14 a.m. | Bharti Munjal, Alessandro Flaborea, Sikandar Amin, Federico Tombari, Fabio Galasso

cs.CV updates on arXiv.org arxiv.org

Few-shot fine-grained classification and person search appear as distinct
tasks and literature has treated them separately. But a closer look unveils
important similarities: both tasks target categories that can only be
discriminated by specific object details; and the relevant models should
generalize to new categories, not seen during training.


We propose a novel unified Query-Guided Network (QGN) applicable to both
tasks. QGN consists of a Query-guided Siamese-Squeeze-and-Excitation subnetwork
which re-weights both the query and gallery features across all network layers, …

arxiv classification fine-grained networks person query search

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

Machine Learning Engineer (m/f/d)

@ StepStone Group | Düsseldorf, Germany

2024 GDIA AI/ML Scientist - Supplemental

@ Ford Motor Company | United States