The ignorant led by the blind: a hybrid human-machine vision system for fine-grained categorization

DOI10.1007/S11263-014-0698-4zbMath1328.68237OpenAlexW1972939083MaRDI QIDQ903466

Pietro Perona, Steve Branson, Grant Van Horn, Catherine Wah, Serge Belongie

Publication date: 6 January 2016

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-014-0698-4

zbMATH Keywords

birdsinteractiveobject recognitionattributesinformation gainpartshuman-in-the-loopcrowd sourcingdeformable part modelsfine-grained categorizationpose mixture models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (1)

Predicting the Ease of Human Category Learning Using Radial Basis Function Networks

Uses Software

• C4.5
• PicHunter
• Leafsnap
• GrabCut
• Caltech-UCSD Birds
• FaceTracer
• PubFig

Cites Work

• Unnamed Item
• Cost-sensitive active visual category learning
• Collaborative 20 Questions for Target Localization
• Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss

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