-
1
-
-
84887338331
-
Label-embedding for attribute-based classification
-
1, 3, 4, 5, 6, 8
-
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. Label-embedding for attribute-based classification. In CVPR, 2013.
-
(2013)
CVPR
-
-
Akata, Z.1
Perronnin, F.2
Harchaoui, Z.3
Schmid, C.4
-
2
-
-
84959243017
-
Evaluation of output embeddings for fine-grained image classification
-
3, 5, 6, 8
-
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
-
3, 6
-
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
-
4
-
-
55149088329
-
Convex multitask feature learning
-
3
-
A. Argyriou, T. Evgeniou, and M. Pontil. Convex multitask feature learning. Machine Learning, 73 (3): 243-272, 2008.
-
(2008)
Machine Learning
, vol.73
, Issue.3
, pp. 243-272
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
5
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
1, 2, 3
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural computation, 15 (6): 1373-1396, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
6
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
4
-
K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. JMLR, 2: 265-292, 2002.
-
(2002)
JMLR
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
7
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
2, 5
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
8
-
-
84898803425
-
Write a classifier: Zero-shot learning using purely textual descriptions
-
1, 3
-
M. Elhoseiny, B. Saleh, and A. Elgammal. Write a classifier: Zero-shot learning using purely textual descriptions. In ICCV, 2013.
-
(2013)
ICCV
-
-
Elhoseiny, M.1
Saleh, B.2
Elgammal, A.3
-
10
-
-
84898958665
-
Devise: A deep visualsemantic embedding model
-
1, 3, 5, 6, 7
-
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, M. Ranzato, and T. Mikolov. Devise: A deep visualsemantic embedding model. In NIPS, 2013.
-
(2013)
NIPS
-
-
Frome, A.1
Corrado, G.S.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Ranzato, M.6
Mikolov, T.7
-
11
-
-
84906482165
-
Transductive multi-view embedding for zero-shot recognition and annotation
-
1, 3, 5, 6
-
Y. Fu, T. M. Hospedales, T. Xiang, Z. Fu, and S. Gong. Transductive multi-view embedding for zero-shot recognition and annotation. In ECCV, 2014.
-
(2014)
ECCV
-
-
Fu, Y.1
Hospedales, T.M.2
Xiang, T.3
Fu, Z.4
Gong, S.5
-
12
-
-
84941001216
-
Transductive multi-view zero-shot learning
-
1, 3, 5, 6
-
Y. Fu, T. M. Hospedales, T. Xiang, and S. Gong. Transductive multi-view zero-shot learning. TPAMI, 37 (11): 2332-2345, 2015.
-
(2015)
TPAMI
, vol.37
, Issue.11
, pp. 2332-2345
-
-
Fu, Y.1
Hospedales, T.M.2
Xiang, T.3
Gong, S.4
-
13
-
-
84940993365
-
Zero-shot object recognition by semantic manifold distance
-
1, 3, 6
-
Z. Fu, T. Xiang, E. Kodirov, and S. Gong. Zero-shot object recognition by semantic manifold distance. In CVPR, 2015.
-
(2015)
CVPR
-
-
Fu, Z.1
Xiang, T.2
Kodirov, E.3
Gong, S.4
-
14
-
-
84973923098
-
Active transfer learning with zero-shot priors: Reusing past datasets for future tasks
-
December.
-
E. Gavves, T. Mensink, T. Tommasi, C. G. M. Snoek, and T. Tuytelaars. Active transfer learning with zero-shot priors: Reusing past datasets for future tasks. In ICCV, December 2015.
-
(2015)
ICCV
-
-
Gavves, E.1
Mensink, T.2
Tommasi, T.3
Snoek, C.G.M.4
Tuytelaars, T.5
-
15
-
-
85032996208
-
Stochastic neighbor embedding
-
1, 3
-
G. E. Hinton and S. T. Roweis. Stochastic neighbor embedding. In NIPS, 2002.
-
(2002)
NIPS
-
-
Hinton, G.E.1
Roweis, S.T.2
-
16
-
-
84937954530
-
Zero-shot recognition with unreliable attributes
-
1, 6
-
D. Jayaraman and K. Grauman. Zero-shot recognition with unreliable attributes. In NIPS, 2014.
-
(2014)
NIPS
-
-
Jayaraman, D.1
Grauman, K.2
-
17
-
-
84911379042
-
Decorrelating semantic visual attributes by resisting the urge to share
-
5, 8
-
D. Jayaraman, F. Sha, and K. Grauman. Decorrelating semantic visual attributes by resisting the urge to share. In CVPR, 2014.
-
(2014)
CVPR
-
-
Jayaraman, D.1
Sha, F.2
Grauman, K.3
-
18
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
5
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM Multimedia, 2014.
-
(2014)
ACM Multimedia
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
19
-
-
84973901436
-
Unsupervised domain adaptation for zero-shot learning
-
1, 3, 6
-
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
-
20
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
1, 5
-
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
-
21
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
1
-
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
-
22
-
-
84894522762
-
Attributebased classification for zero-shot visual object categorization
-
1, 3, 5, 6, 8
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Attributebased classification for zero-shot visual object categorization. TPAMI, 36 (3): 453-465, 2014.
-
(2014)
TPAMI
, vol.36
, Issue.3
, pp. 453-465
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
23
-
-
84973882857
-
Predicting deep zero-shot convolutional neural networks using textual descriptions
-
December.
-
J. Lei Ba, K. Swersky, S. Fidler, and R. salakhutdinov. Predicting deep zero-shot convolutional neural networks using textual descriptions. In ICCV, December 2015.
-
(2015)
ICCV
-
-
Lei Ba, J.1
Swersky, K.2
Fidler, S.3
Salakhutdinov, R.4
-
24
-
-
84973861058
-
Semi-supervised zero-shot classification with label representation learning
-
1, 6
-
X. Li, Y. Guo, and D. Schuurmans. Semi-supervised zero-shot classification with label representation learning. In ICCV, 2015.
-
(2015)
ICCV
-
-
Li, X.1
Guo, Y.2
Schuurmans, D.3
-
27
-
-
84911410734
-
Costa: Co-occurrence statistics for zero-shot classification
-
1, 3, 4, 8
-
T. Mensink, E. Gavves, and C. G. Snoek. Costa: Co-occurrence statistics for zero-shot classification. In CVPR, 2014.
-
(2014)
CVPR
-
-
Mensink, T.1
Gavves, E.2
Snoek, C.G.3
-
29
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
3, 5
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013.
-
(2013)
NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
30
-
-
85083952206
-
Zero-shot learning by convex combination of semantic embeddings
-
1, 2, 3, 4, 5, 6, 7, 8
-
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. In ICLR, 2014.
-
(2014)
ICLR
-
-
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
-
33
-
-
84900870389
-
The sun attribute database: Beyond categories for deeper scene understanding
-
5, 8
-
G. Patterson, C. Xu, H. Su, and J. Hays. The sun attribute database: Beyond categories for deeper scene understanding. IJCV, 108 (1-2): 59-81, 2014.
-
(2014)
IJCV
, vol.108
, Issue.1-2
, pp. 59-81
-
-
Patterson, G.1
Xu, C.2
Su, H.3
Hays, J.4
-
34
-
-
80052892795
-
Evaluating knowledge transfer and zero-shot learning in a largescale setting
-
3
-
M. Rohrbach, M. Stark, and B. Schiele. Evaluating knowledge transfer and zero-shot learning in a largescale setting. In CVPR, 2011.
-
(2011)
CVPR
-
-
Rohrbach, M.1
Stark, M.2
Schiele, B.3
-
35
-
-
77955989949
-
What helps where-and why semantic relatedness for knowledge transfer
-
3, 5
-
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
-
36
-
-
84969931523
-
An embarrassingly simple approach to zero-shot learning
-
1, 3, 6, 8
-
B. Romera-Paredes and P. H. S. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, 2015.
-
(2015)
ICML
-
-
Romera-Paredes, B.1
Torr, P.H.S.2
-
37
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
1, 5
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. Imagenet large scale visual recognition challenge. IJCV, 115 (3): 211-252, 2015.
-
(2015)
IJCV
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
38
-
-
33745885491
-
Learning with kernels: Support vector machines, regularization, optimization, and beyond
-
3
-
B. Schölkopf and A. J. Smola. Learning with kernels: support vector machines, regularization, optimization, and beyond. MIT press, 2002.
-
(2002)
MIT Press
-
-
Schölkopf, B.1
Smola, A.J.2
-
39
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
6
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
41
-
-
84937522268
-
Going deeper with convolutions
-
1, 5
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
42
-
-
84878084353
-
-
Technical Report CNS-TR-2011-001, California Institute of Technology, 3, 5
-
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)
The Caltech-UCSD Birds-200-2011 Dataset
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
43
-
-
84898779459
-
A unified probabilistic approach modeling relationships between attributes and objects
-
3, 5, 6, 8
-
X. Wang and Q. Ji. A unified probabilistic approach modeling relationships between attributes and objects. In ICCV, 2013.
-
(2013)
ICCV
-
-
Wang, X.1
Ji, Q.2
-
44
-
-
85083954228
-
A unified perspective on multi-domain and multi-task learning
-
1
-
Y. Yang and T. M. Hospedales. A unified perspective on multi-domain and multi-task learning. In ICLR, 2015.
-
(2015)
ICLR
-
-
Yang, Y.1
Hospedales, T.M.2
-
45
-
-
84887368641
-
Designing category-level attributes for discriminative visual recognition
-
3, 6
-
F. X. Yu, L. Cao, R. S. Feris, J. R. Smith, and S.-F. Chang. Designing category-level attributes for discriminative visual recognition. In CVPR, 2013.
-
(2013)
CVPR
-
-
Yu, F.X.1
Cao, L.2
Feris, R.S.3
Smith, J.R.4
Chang, S.-F.5
-
47
-
-
84973910934
-
Zero-shot learning via semantic similarity embedding
-
1, 3, 5, 6
-
Z. Zhang and V. Saligrama. Zero-shot learning via semantic similarity embedding. In ICCV, 2015.
-
(2015)
ICCV
-
-
Zhang, Z.1
Saligrama, V.2
|