Tagging Personal Photos with Transfer Deep Learning
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Tao Mei | Hanqing Lu | Yong Rui | Kuiyuan Yang | Jianlong Fu | Y. Rui | Tao Mei | Hanqing Lu | Jianlong Fu | Kuiyuan Yang
[1] Weidong Yang,et al. Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling , 2012, ECCV.
[2] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[3] Antonio Torralba,et al. Building the gist of a scene: the role of global image features in recognition. , 2006, Progress in brain research.
[4] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[5] Dong Liu,et al. Tag ranking , 2009, WWW '09.
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Yi Liu,et al. Large-scale image annotation using visual synset , 2011, 2011 International Conference on Computer Vision.
[8] Sylvain Paris,et al. Learning photographic global tonal adjustment with a database of input / output image pairs , 2011, CVPR 2011.
[9] Tao Mei,et al. Contextual Bag-of-Words for Visual Categorization , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[10] Nitish Srivastava,et al. Discriminative Transfer Learning with Tree-based Priors , 2013, NIPS.
[11] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Changsheng Li,et al. Learning ordinal discriminative features for age estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Feiping Nie,et al. Dyadic transfer learning for cross-domain image classification , 2011, 2011 International Conference on Computer Vision.
[14] Wei-Ying Ma,et al. AnnoSearch: Image Auto-Annotation by Search , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[15] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[16] Marcel Worring,et al. Learning tag relevance by neighbor voting for social image retrieval , 2008, MIR '08.
[17] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[18] Carman Neustaedter,et al. Image annotation using personal calendars as context , 2008, ACM Multimedia.
[19] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[20] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[21] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[22] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[24] Cordelia Schmid,et al. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Tao Mei,et al. Image Tag Refinement With View-Dependent Concept Representations , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[26] Jiebo Luo,et al. Annotating collections of photos using hierarchical event and scene models , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Jürgen Schmidhuber,et al. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.
[28] Ying He,et al. Mining social images with distance metric learning for automated image tagging , 2011, WSDM '11.
[29] Jiebo Luo,et al. Event recognition from photo collections via PageRank , 2009, MM '09.
[30] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).