PubFig

PubFig: Public Figures Face Database: The PubFig database is a large, real-world face dataset consisting of 58,797 images of 200 people collected from the internet. Unlike most other existing face datasets, these images are taken in completely uncontrolled situations with non-cooperative subjects. Thus, there is large variation in pose, lighting, expression, scene, camera, imaging conditions and parameters, etc. The PubFig dataset is similar in spirit to the Labeled Faces in the Wild (LFW) dataset created at UMass-Amherst, although there are some significant differences in the two.

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References in zbMATH (referenced in 20 articles )

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  1. Zhang, Guoqing; Yang, Junchuan; Zheng, Yuhui; Luo, Zhiyuan; Zhang, Jinglin: Optimal discriminative feature and dictionary learning for image set classification (2021)
  2. Görgel, Pelin; Simsek, Ahmet: Face recognition via deep stacked denoising sparse autoencoders (DSDSA) (2019)
  3. Lock, Eric F.; Li, Gen: Supervised multiway factorization (2018)
  4. Law, Marc T.; Thome, Nicolas; Cord, Matthieu: Learning a distance metric from relative comparisons between quadruplets of images (2017)
  5. Rawat, Waseem; Wang, Zenghui: Deep convolutional neural networks for image classification: a comprehensive review (2017)
  6. Antoniuk, Kostiantyn; Franc, Vojtěch; Hlaváč, Václav: V-shaped interval insensitive loss for ordinal classification (2016)
  7. Kuang, Zhanghui; Wong, Kwan-Yee K.: Relatively-paired space analysis: learning a latent common space from relatively-paired observations (2015)
  8. Su, Hao; Yu, Adams Wei: Probabilistic modeling of scenes using object frames (2015) ioport
  9. Biswas, Arijit; Jacobs, David: Active image clustering with pairwise constraints from humans (2014)
  10. Branson, Steve; Van Horn, Grant; Wah, Catherine; Perona, Pietro; Belongie, Serge: The ignorant led by the blind: a hybrid human-machine vision system for fine-grained categorization (2014)
  11. Patterson, Genevieve; Xu, Chen; Su, Hang; Hays, James: The SUN attribute database: beyond categories for deeper scene understanding (2014) ioport
  12. Unar, J. A.; Seng, Woo Chaw; Abbasi, Almas: A review of biometric technology along with trends and prospects (2014) ioport
  13. Song, Fengyi; Tan, Xiaoyang; Chen, Songcan; Zhou, Zhi-Hua: A literature survey on robust and efficient eye localization in real-life scenarios (2013) ioport
  14. Vondrick, Carl; Patterson, Donald; Ramanan, Deva: Efficiently scaling up crowdsourced video annotation (2013) ioport
  15. Zhang, Wei; Zhao, Deli; Wang, Xiaogang: Agglomerative clustering via maximum incremental path integral (2013)
  16. Guillaumin, Matthieu; Mensink, Thomas; Verbeek, Jakob; Schmid, Cordelia: Face recognition from caption-based supervision (2012)
  17. Liu, Xiao; Song, Mingli; Zhao, Qi; Tao, Dacheng; Chen, Chun; Bu, Jiajun: Attribute-restricted latent topic model for person re-identification (2012) ioport
  18. Su, Yu; Jurie, Frédéric: Improving image classification using semantic attributes (2012) ioport
  19. Vu, Ngoc-Son; Dee, Hannah M.; Caplier, Alice: Face recognition using the POEM descriptor (2012) ioport
  20. Wolf, Lior; Littman, Rotem; Mayer, Naama; German, Tanya; Dershowitz, Nachum: Identifying join candidates in the Cairo genizah (2011) ioport