The DOI matches its Crossref record; 83 of the 85 references it cites were found in a registry or an index.
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.”
From Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector (2015) · cites this paper as [23]
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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.”
From Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector (2015) · cites this paper as [23]
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Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
The pascal visual object classes (VOC) challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916
The Pascal Visual Object Classes Challenge: A Retrospective
Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-014-0733-5 · Cited by 7,139
Video Google: a text retrieval approach to object matching in videos
Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367
Visual categorization with bags of keypoints
Csurka, G. (2004) · Cited by 4,379
SUN database: Large-scale scene recognition from abbey to zoo
Xiao, J., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539970 · Cited by 3,283
Locality-constrained Linear Coding for image classification
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540018 · Cited by 3,100
Research works printed but not linked: 1
- Clinchant, S., Csurka, G., Perronnin, F., & Renders, J. M. (2007). XRCEs participation to imageval. In ImageEval workshop at CVIR.
Cited by
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Squeeze-and-Excitation Networks
Hu, J., Shen, L., & Sun, G. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00745 · Cited by 35,667
Squeeze-and-Excitation Networks
Hu, J., Shen, L., Albanie, S., Sun, G., & Wu, E. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2913372 · Cited by 12,157
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.-R., & Samek, W. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130140 · Cited by 4,524
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Su, H., Maji, S., Kalogerakis, E., & Miller, E. G. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.114 · Cited by 3,608
(2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 2,534
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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