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Image Classification with the Fisher Vector: Theory and Practice
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“Compared with the conventional methods, FV is able to obtain high discriminative subspace with the complementary feature subspace exploration.”
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“It is known that the widely used SIFT23 achieves superior performance compared to other descriptors such as color especially in the computer vision field.”
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Metadata
- Authors
- Sánchez, J., Perronnin, F., Mensink, T., & Verbeek, J.
- Affiliations
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Xerox (France) (FR)
- University of Amsterdam (NL)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Sánchez, Jorge
- Venue
- International Journal of Computer Vision
- Published
- 2013-06-12
- Volume
- 105
- Issue
- 3
- Pages
- 222-245
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1966385142
- Cited by
- 1,498
- References
- 85
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 45 · 2023: 58 · 2022: 102 · 2021: 95 · 2020: 128 · 2019: 164 · 2018: 167 · 2017: 211 · 2016: 224 · 2015: 167 · 2014: 91 · 2013: 13
- FWCI
- 171.88
- Type
- journal article
- Language
- en
- Open access
- green
- handle.uba.uva.nl
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- HAL (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- Fisher vectors, Fisher kernel, image classification, bag of visual words, product quantization, image retrieval, feature encoding, linear classifiers
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