The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Names and faces in the news
Open accessAbstract
We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face finder to approximately half a million captioned news images. This dataset is more realistic than usual face recognition datasets, because it contains faces captured "in the wild" in a variety of configurations with respect to the camera, taking a variety of expressions, and under illumination of widely varying color. Each face image is associated with a set of names, automatically extracted from the associated caption. Many, but not all such sets contain the correct name. We cluster face images in appropriate discriminant coordinates. We use a clustering procedure to break ambiguities in labelling and identify incorrectly labelled faces. A merging procedure then identifies variants of names that refer to the same individual. The resulting representation can be used to label faces in news images or to organize news pictures by individuals present. An alternative view of our procedure is as a process that cleans up noisy supervised data. We demonstrate how to use entropy measures to evaluate such procedures.
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Cites
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Self-citationSpectral grouping using the nystrom method
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Cited by
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
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The Chicago face database: a free stimulus set of faces and norming data
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Deep Visual-Semantic Alignments for Generating Image Descriptions
Karpathy, A., & Fei-Fei, L. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2598339 · Cited by 1,048
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Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning
Cinbis, R. G., Verbeek, J., & Schmid, C. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2535231 · Cited by 420
Metadata
- Authors
- Berg, T. L., Berg, A. C., Edwards, J., Maire, M., White, R., Teh, Y.-W., Learned-Miller, E., & Forsyth, D. A.
- Venue
- Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
- Publisher
- IEEE
- Published
- 2004-11-13
- Volume
- 2
- Pages
- 848-854
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2107558380
- Cited by
- 339
- References
- 19
- FWCI
- 15.52
- Type
- conference paper
- Language
- en
- Open access
- green
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- Berg, T. L., Berg, A. C., Edwards, J., Maire, M., White, R., Teh, Y.-W., Learned-Miller, E., & Forsyth, D. A. (2004). Names and faces in the news. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. https://doi.org/10.1109/cvpr.2004.1315253
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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