Cited by 281Domain Adaptation and Few-Shot LearningAdvanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

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Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost

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Mensink, Thomas, Verbeek, Jakob, Perronnin, Florent, Csurka, Gabriela·2012·Lecture Notes in Computer Science

DOI 10.1007/978-3-642-33709-3_35

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Authors: Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G.
Affiliations: Institut national de recherche en sciences et technologies du numérique (FR)
Xerox (France) (FR)
ORCID: Mensink, Thomas
Verbeek, Jakob
Csurka, Gabriela
Venue: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg
Published: 2012
Volume: 7573
Pages: 488-501
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-642-33709-3_35
OpenAlex: W1499991161
Cited by: 281
References: 32
Citations by year: 2026: 2 · 2025: 11 · 2024: 13 · 2023: 10 · 2022: 30 · 2021: 22 · 2020: 28 · 2019: 26 · 2018: 37 · 2017: 27 · 2016: 20 · 2015: 22 · 2014: 15 · 2013: 16 · 2012: 2
FWCI: 13.49
Type: conference paper
Language: en
Open access: green
inria.hal.science
Licence: other-oa
www.springer.com/tdm (tdm)
Locations: Lecture notes in computer science (publishedVersion)
HAL (submittedVersion, other-oa)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords: metric learning, large-scale image classification, zero-shot classification, k-nearest neighbors, limited training data

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Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost

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