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Attributes possess appealing properties and benefit many computer vision problems, such as object recognition, learning with humans in the loop, and image retrieval.
Kernel principal component analysis
B. Schölkopf, A. Smola, and K.-R. Müller · 1997
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A kernel method for the two-sample problem
A. Gretton, K. M. Borgwardt, M. Rasch, B. Schölkopf, and A. J. Smola · 2006
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Correcting sample selection bias by unlabeled data
J. Huang, A. Gretton, K. M. Borgwardt, B. Schölkopf, and A. J. Smola · 2006
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A hilbert space embedding for distributions
A. Smola, A. Gretton, L. Song, and B. Schölkopf · 2007
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Domain adaptation from multiple sources via auxiliary classifiers
L. Duan, I. W. Tsang, D. Xu, and T.-S. Chua · 2009
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Describing objects by their attributes
A. Farhadi, I. Endres, D. Hoiem, and D. Forsyth · 2009
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Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid · 2009
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Attribute and simile classifiers for face verification
N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar · 2009
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Learning to detect unseen object classes by between-class attribute transfer
C. H. Lampert, H. Nickisch, and S. Harmeling · 2009
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Domain adaptation with multiple sources
Y. Mansour, M. Mohri, and A. Rostamizadeh · 2009
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Zero-shot learning with semantic output codes
M. Palatucci, D. Pomerleau, G. E. Hinton, and T. M. Mitchell · 2009
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Automatic attribute discovery and characterization from noisy web data
T. L. Berg, A. C. Berg, and J. Shih · 2010
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Visual recognition with humans in the loop
S. Branson, C. Wah, F. Schroff, B. Babenko, P. Welinder, P. Perona, and S. Belongie · 2010
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Attribute-centric recognition for cross-category generalization
A. Farhadi, I. Endres, and D. Hoiem · 2010
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Object bank: A high-level image representation for scene classification & semantic feature sparsification
L.-J. Li, H. Su, L. Fei-Fei, and E. P. Xing · 2010
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Hilbert space embeddings and metrics on probability measures
B. K. Sriperumbudur, A. Gretton, K. Fukumizu, B. Schölkopf, and G. R. Lanckriet · 2010
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Improving object classification using semantic attributes
Y. Su, M. Allan, and F. Jurie · 2010
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Efficient object category recognition using classemes
L. Torresani, M. Szummer, and A. Fitzgibbon · 2010
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A discriminative latent model of object classes and attributes
Y. Wang and G. Mori · 2010
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Attribute-based transfer learning for object categorization with zero/one training example
X. Yu and Y. Aloimonos · 2010
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Describing people: A poselet-based approach to attribute classification
L. Bourdev, S. Maji, and J. Malik · 2011
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Sharing features between objects and their attributes
S. J. Hwang, F. Sha, and K. Grauman · 2011
Earlier work this paper cites.
Actively selecting annotations among objects and attributes
A. Kovashka, S. Vijayanarasimhan, and K. Grauman · 2011
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A joint learning framework for attribute models and object descriptions
D. Mahajan, S. Sellamanickam, and V. Nair · 2011
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Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2011
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Interactively building a discriminative vocabulary of nameable attributes
D. Parikh and K. Grauman · 2011
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Relative attributes
D. Parikh and K. Grauman · 2011
Earlier work this paper cites.
Image ranking and retrieval based on multi-attribute queries
B. Siddiquie, R. S. Feris, and L. S. Davis · 2011
Earlier work this paper cites.
A two-stage weighting framework for multi-source domain adaptation
Q. Sun, R. Chattopadhyay, S. Panchanathan, and J. Ye · 2011
Cited alongside, same era.
The caltech-ucsd birds-200-2011 dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
Cited alongside, same era.
Describing clothing by semantic attributes
H. Chen, A. Gallagher, and B. Girod · 2012
Cited alongside, same era.
Algorithms for learning kernels based on centered alignment
C. Cortes, M. Mohri, and A. Rostamizadeh · 2012
Cited alongside, same era.
Discovering localized attributes for fine-grained recognition
K. Duan, D. Parikh, D. Crandall, and K. Grauman · 2012
Cited alongside, same era.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
Cited alongside, same era.
Scene classification via hypergraph-based semantic attributes subnetworks identification
S.-W. Choi, C. H. Lee, and I. K. Park · 2014
Later among the works it cites.
Learning multimodal latent attributes
Y. Fu, T. M. Hospedales, T. Xiang, and S. Gong · 2014
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A unified semantic embedding: Relating taxonomies and attributes
S. J. Hwang and L. Sigal · 2014
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Zero-shot recognition with unreliable attributes
D. Jayaraman and K. Grauman · 2014
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Decorrelating semantic visual attributes by resisting the urge to share
D. Jayaraman, F. Sha, and K. Grauman · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell · 2014
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Discovering latent domains for multisource domain adaptation
J. Hoffman, B. Kulis, T. Darrell, and K. Saenko · 2012
Cited alongside, same era.
Online incremental attribute-based zero-shot learning
P. Kankuekul, A. Kawewong, S. Tangruamsub, and O. Hasegawa · 2012
Cited alongside, same era.
Whittlesearch: Image search with relative attribute feedback
A. Kovashka, D. Parikh, and K. Grauman · 2012
Cited alongside, same era.
Attributes for classifier feedback
A. Parkash and D. Parikh · 2012
Cited alongside, same era.
SUN attribute database: Discovering, annotating, and recognizing scene attributes
G. Patterson and J. Hays · 2012
Cited alongside, same era.
Multi-attribute spaces: Calibration for attribute fusion and similarity search
W. J. Scheirer, N. Kumar, P. N. Belhumeur, and T. E. Boult · 2012
Cited alongside, same era.
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Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
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Interactively guiding semi-supervised clustering via attribute-based explanations
S. Lad and D. Parikh · 2014
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Beyond comparing image pairs: Setwise active learning for relative attributes
L. Liang and K. Grauman · 2014
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Relative parts: Distinctive parts for learning relative attributes
R. N. Sandeep, Y. Verma, and C. Jawahar · 2014
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Weakly supervised learning of objects, attributes and their associations
Z. Shi, Y. Yang, T. M. Hospedales, and T. Xiang · 2014
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Understanding objects in detail with fine-grained attributes
A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss, B. Taskar, K. Simonyan, N. Saphra, and S. Mohamed · 2014
Later among the works it cites.
Exploiting low-rank structure from latent domains for domain generalization
Z. Xu, W. Li, L. Niu, and D. Xu · 2014
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Panda: Pose aligned networks for deep attribute modeling
N. Zhang, M. Paluri, M. Ranzato, T. Darrell, and L. Bourdev · 2014
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Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
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Deep domain adaptation for describing people based on fine-grained clothing attributes
Q. Chen, J. Huang, R. Feris, L. M. Brown, J. Dong, and S. Yan · 2015
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On the relationship between visual attributes and convolutional networks
V. Escorcia, J. C. Niebles, and B. Ghanem · 2015
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Zero-shot object recognition by semantic manifold distance
Z. Fu, T. Xiang, E. Kodirov, and S. Gong · 2015
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Exploring semantic inter-class relationships (SIR) for zero-shot action recognition
C. Gan, M. Lin, Y. Yang, Y. Zhuang, and A. G. Hauptmann · 2015
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Domain generalization for object recognition with multi-task autoencoders
M. Ghifary, W. B. Kleijn, M. Zhang, and D. Balduzzi · 2015
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Learning hypergraph-regularized attribute predictors
S. Huang, M. Elhoseiny, A. Elgammal, and D. Yang · 2015
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Visual recognition by learning from web data: A weakly supervised domain generalization approach
L. Niu, W. Li, and D. Xu · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Automatic concept discovery from parallel text and visual corpora
C. Sun, C. Gan, and R. Nevatia · 2015
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Attributes and categories for generic instance search from one example
R. Tao, A. W. Smeulders, and S.-F. Chang · 2015
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C3d: Generic features for video analysis
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Recognizing an action using its name: A knowledge-based approach
C. Gan, Y. Yang, L. Zhu, D. Zhao, and Y. Zhuang · 2016
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