-
1
-
-
33645146449
-
Histogram of oriented gradients for human detection
-
N. Dalal and B. Triggs. Histogram of Oriented Gradients for Human Detection. In Proc. CVPR, 2005.
-
(2005)
Proc. CVPR
-
-
Dalal, N.1
Triggs, B.2
-
2
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In Proc. CVPR, 2009.
-
(2009)
Proc. CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
4
-
-
77956003629
-
Visual event recognition in videos by learning from web data
-
L. Duan, D. Xu, I. Tsang, and J. Luo. Visual event recognition in videos by learning from web data. In Proc. CVPR, 2010.
-
(2010)
Proc. CVPR
-
-
Duan, L.1
Xu, D.2
Tsang, I.3
Luo, J.4
-
5
-
-
84921069139
-
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results, 2007.
-
(2007)
The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
6
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
M. Everingham, L. Van Gool, C. K. I.Williams, J.Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010.
-
(2010)
IJCV
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
8
-
-
0344983284
-
A Bayesian approach to unsupervised one-shot learning of object categories
-
L. Fei-Fei, R. Fergus, and P. Perona. A Bayesian approach to unsupervised one-shot learning of object categories. In Proc. ICCV, 2003.
-
(2003)
Proc. ICCV
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
10
-
-
70450219358
-
Learning visual attributes
-
V. Ferrari and A. Zisserman. Learning visual attributes. In NIPS, 2007.
-
(2007)
NIPS
-
-
Ferrari, V.1
Zisserman, A.2
-
11
-
-
33745908406
-
Object classification from a single example utilizing class relevance metrics
-
M. Fink. Object classification from a single example utilizing class relevance metrics. In NIPS, 2004.
-
(2004)
NIPS
-
-
Fink, M.1
-
13
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
C. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In Proc. CVPR, 2009.
-
(2009)
Proc. CVPR
-
-
Lampert, C.1
Nickisch, H.2
Harmeling, S.3
-
16
-
-
84898110204
-
-
E. Olivas, J. Guerrero, M. Sober, J. Benedito, and A. Lopez. Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques. 2009.
-
(2009)
Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques
-
-
Olivas, E.1
Guerrero, J.2
Sober, M.3
Benedito, J.4
Lopez, A.5
-
17
-
-
70350367732
-
Model adaptation with least-squares svm for adaptive hand prosthetics
-
F. Orabona, C. Castellini, B. Caputo, A. Fiorilla, and G. Sandini. Model adaptation with least-squares svm for adaptive hand prosthetics. In Proc. ICRA, 2009.
-
(2009)
Proc. ICRA
-
-
Orabona, F.1
Castellini, C.2
Caputo, B.3
Fiorilla, A.4
Sandini, G.5
-
18
-
-
51949094374
-
Transfer learning for image classification with sparse prototype representations
-
A. Quattoni, M. Collins, and T. Darrell. Transfer learning for image classification with sparse prototype representations. In Proc. CVPR, 2008.
-
(2008)
Proc. CVPR
-
-
Quattoni, A.1
Collins, M.2
Darrell, T.3
-
19
-
-
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 Proc. CVPR, 2010.
-
(2010)
Proc. CVPR
-
-
Rohrbach, M.1
Stark, M.2
Szarvas, G.3
Gurevych, I.4
Schiele, B.5
-
21
-
-
77953222843
-
A shape-based object class model for knowledge transfer
-
M. Stark, M. Goesele, and B. Schiele. A shape-based object class model for knowledge transfer. In Proc. ICCV, 2009.
-
(2009)
Proc. ICCV
-
-
Stark, M.1
Goesele, M.2
Schiele, B.3
-
22
-
-
84898876496
-
The more you know, the less you learn: From knowledge transfer to one-shot learning of object categories
-
T. Tommasi and B. Caputo. The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories. In Proc. BMVC., 2009.
-
(2009)
Proc. BMVC.
-
-
Tommasi, T.1
Caputo, B.2
-
23
-
-
77956005674
-
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
-
T. Tommasi, F. Orabona, and B. Caputo. Safety in numbers: Learning categories from few examples with multi model knowledge transfer. In Proc. CVPR, 2010.
-
(2010)
Proc. CVPR
-
-
Tommasi, T.1
Orabona, F.2
Caputo, B.3
-
26
-
-
77955997493
-
Comparative object similarity for improved recognition with few or no examples
-
G. Wang, D. Forsyth, and D. Hoiem. Comparative object similarity for improved recognition with few or no examples. In Proc. CVPR, 2010.
-
(2010)
Proc. CVPR
-
-
Wang, G.1
Forsyth, D.2
Hoiem, D.3
-
27
-
-
49549114434
-
Adapting svm classifiers to data with shifted distributions
-
J. Yang, R. Yan, and A. Hauptmann. Adapting svm classifiers to data with shifted distributions. In ICDM Workshops 2007, 2007.
-
(2007)
ICDM Workshops 2007
-
-
Yang, J.1
Yan, R.2
Hauptmann, A.3
-
28
-
-
37849026107
-
Cross-domain video concept detection using adaptive svms
-
J. Yang, R. Yan, and A. Hauptmann. Cross-domain video concept detection using adaptive svms. In ACM Multimedia, 2007.
-
(2007)
ACM Multimedia
-
-
Yang, J.1
Yan, R.2
Hauptmann, A.3
-
29
-
-
84855413670
-
Attribute-based transfer learning for object categorization with zero/one training example
-
X. Yu and Y. Aloimonos. Attribute-based transfer learning for object categorization with zero/one training example. In Proc. ECCV, 2010.
-
(2010)
Proc. ECCV
-
-
Yu, X.1
Aloimonos, Y.2
-
30
-
-
50649123564
-
Exploiting object hierarchy: Combining models from different category levels
-
A. Zweig and D.Weinshall. Exploiting object hierarchy: Combining models from different category levels. In Proc. ICCV, 2007.
-
(2007)
Proc. ICCV
-
-
Zweig, A.1
Weinshall, D.2
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