-
2
-
-
84959243017
-
Evaluation of output embeddings for fine-grained image classification
-
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele. Evaluation of output embeddings for fine-grained image classification. In CVPR, 2015.
-
(2015)
CVPR
-
-
Akata, Z.1
Reed, S.2
Walter, D.3
Lee, H.4
Schiele, B.5
-
3
-
-
84925431011
-
How to transfer? Zeroshot object recognition via hierarchical transfer of semantic attributes
-
Z. Al-Halah and R. Stiefelhagen. How to transfer? zeroshot object recognition via hierarchical transfer of semantic attributes. In WACV, 2015.
-
(2015)
WACV
-
-
Al-Halah, Z.1
Stiefelhagen, R.2
-
5
-
-
85044307316
-
Exploring semantic interclass relationships (sir) for zero-shot action recognition
-
M. L. Chuang Gan, Y. Yang, Y. Zhuang, and A. G. Hauptmann. Exploring semantic interclass relationships (sir) for zero-shot action recognition. In AAAI, 2015.
-
(2015)
AAAI
-
-
Chuang Gan, M.L.1
Yang, Y.2
Zhuang, Y.3
Hauptmann, A.G.4
-
7
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al. Devise: A deep visual-semantic embedding model. In NIPS, 2013.
-
(2013)
NIPS
-
-
Frome, A.1
Corrado, G.S.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Mikolov, T.6
-
8
-
-
84919924897
-
Efficient label propagation
-
Y. Fujiwara and G. Irie. Efficient label propagation. In ICML, 2014.
-
(2014)
ICML
-
-
Fujiwara, Y.1
Irie, G.2
-
9
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011.
-
(2011)
ICCV
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
10
-
-
84898773262
-
Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition
-
S. Guadarrama, N. Krishnamoorthy, G. Malkarnenkar, S. Venugopalan, R. Mooney, T. Darrell, and K. Saenko. Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition. In ICCV, 2013.
-
(2013)
ICCV
-
-
Guadarrama, S.1
Krishnamoorthy, N.2
Malkarnenkar, G.3
Venugopalan, S.4
Mooney, R.5
Darrell, T.6
Saenko, K.7
-
11
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. Hoyer. Non-negative matrix factorization with sparseness constraints. JMLR, 5:1457-1469, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.1
-
12
-
-
84937837455
-
A unified semantic embedding: Relating taxonomies and attributes
-
S. J. Hwang and L. Sigal. A unified semantic embedding: Relating taxonomies and attributes. In NIPS, 2014.
-
(2014)
NIPS
-
-
Hwang, S.J.1
Sigal, L.2
-
14
-
-
84973901436
-
Unsupervised domain adaptation for zero-shot learning
-
E. Kodirov, T. Xiang, Z. Fu, and S. Gong. Unsupervised domain adaptation for zero-shot learning. In ICCV, 2015.
-
(2015)
ICCV
-
-
Kodirov, E.1
Xiang, T.2
Fu, Z.3
Gong, S.4
-
15
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
16
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
17
-
-
84894522762
-
Attributebased classification for zero-shot visual object categorization
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Attributebased classification for zero-shot visual object categorization. PAMI, 36(3):453-465, 2014.
-
(2014)
PAMI
, vol.36
, Issue.3
, pp. 453-465
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
18
-
-
84973882857
-
Predicting deep zeroshot convolutional neural networks using textual descriptions
-
J. Lei Ba, K. Swersky, S. Fidler, et al. Predicting deep zeroshot convolutional neural networks using textual descriptions. In ICCV, 2015.
-
(2015)
ICCV
-
-
Lei Ba, J.1
Swersky, K.2
Fidler, S.3
-
19
-
-
80052915325
-
Recognizing human actions by attributes
-
J. Liu, B. Kuipers, and S. Savarese. Recognizing human actions by attributes. In CVPR, 2011.
-
(2011)
CVPR
-
-
Liu, J.1
Kuipers, B.2
Savarese, S.3
-
21
-
-
84887392643
-
Subspace interpolation via dictionary learning for unsupervised domain adaptation
-
J. Ni, Q. Qiu, and R. Chellappa. Subspace interpolation via dictionary learning for unsupervised domain adaptation. In CVPR, 2013.
-
(2013)
CVPR
-
-
Ni, J.1
Qiu, Q.2
Chellappa, R.3
-
22
-
-
84898979068
-
-
arXiv preprint arXiv
-
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. S. Corrado, and J. Dean. Zero-shot learning by convex combination of semantic embeddings. arXiv preprint arXiv:1312.5650, 2013.
-
(2013)
Zero-shot Learning by Convex Combination of Semantic Embeddings
-
-
Norouzi, M.1
Mikolov, T.2
Bengio, S.3
Singer, Y.4
Shlens, J.5
Frome, A.6
Corrado, G.S.7
Dean, J.8
-
24
-
-
84866637964
-
Sun attribute database: Discovering, annotating, and recognizing scene attributes
-
G. Patterson and J. Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In CVPR, 2012.
-
(2012)
CVPR
-
-
Patterson, G.1
Hays, J.2
-
25
-
-
77955989949
-
What helps where-and why? Semantic relatedness for knowledge transfer
-
M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych, and B. Schiele. What helps where-and why? semantic relatedness for knowledge transfer. In CVPR, 2010.
-
(2010)
CVPR
-
-
Rohrbach, M.1
Stark, M.2
Szarvas, G.3
Gurevych, I.4
Schiele, B.5
-
26
-
-
84969931523
-
An embarrassingly simple approach to zero-shot learning
-
B. Romera-Paredes and P. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, 2015.
-
(2015)
ICML
-
-
Romera-Paredes, B.1
Torr, P.2
-
30
-
-
84878084353
-
The caltech-ucsd birds-200-2011 dataset
-
California Institute of Technology
-
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology, 2011.
-
(2011)
Technical Report CNS-TR-2011-001
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
31
-
-
77953177673
-
Joint learning of visual attributes, object classes and visual saliency
-
G. Wang and D. Forsyth. Joint learning of visual attributes, object classes and visual saliency. In ICCV, 2009.
-
(2009)
ICCV
-
-
Wang, G.1
Forsyth, D.2
-
32
-
-
84911434661
-
Zero-shot event detection using multi-modal fusion of weakly supervised concepts
-
S. Wu, S. Bondugula, F. Luisier, X. Zhuang, and P. Natarajan. Zero-shot event detection using multi-modal fusion of weakly supervised concepts. In CVPR, 2014.
-
(2014)
CVPR
-
-
Wu, S.1
Bondugula, S.2
Luisier, F.3
Zhuang, X.4
Natarajan, P.5
-
33
-
-
84899020527
-
A novel two-step method for cross language representation learning
-
M. Xiao and Y. Guo. A novel two-step method for cross language representation learning. In NIPS, 2013.
-
(2013)
NIPS
-
-
Xiao, M.1
Guo, Y.2
-
34
-
-
84973910934
-
Zero-shot learning via semantic similarity embedding
-
Z. Zhang and V. Saligrama. Zero-shot learning via semantic similarity embedding. In ICCV, 2015.
-
(2015)
ICCV
-
-
Zhang, Z.1
Saligrama, V.2
-
35
-
-
84986292720
-
Zero-shot learning via joint latent similarity embedding
-
Z. Zhang and V. Saligrama. Zero-shot learning via joint latent similarity embedding. In CVPR, 2016.
-
(2016)
CVPR
-
-
Zhang, Z.1
Saligrama, V.2
|