-
1
-
-
84898946229
-
Support vector machines for multipleinstance learning
-
2
-
S. Andrews and I. Tsochantaridis. Support vector machines for multipleinstance learning. In NIPS, 2003. 2
-
(2003)
NIPS
-
-
Andrews, S.1
Tsochantaridis, I.2
-
2
-
-
50649101132
-
Image classification using random forests and ferns
-
3
-
A. Bosch, A. Zisserman, and X. Munoz. Image classification using random forests and ferns. In CVPR, 2007. 3
-
(2007)
CVPR
-
-
Bosch, A.1
Zisserman, A.2
Munoz, X.3
-
3
-
-
79960230920
-
Visual recognition with humans in the loop
-
6, 7
-
S. Branson, C. Wah, F. Schroff, B. Babenko, P. Welinder, P. Perona, and S. Belongie. Visual Recognition with Humans in the Loop. In ECCV, 2010. 6, 7
-
(2010)
ECCV
-
-
Branson, S.1
Wah, C.2
Schroff, F.3
Babenko, B.4
Welinder, P.5
Perona, P.6
Belongie, S.7
-
4
-
-
84856668103
-
BiCoS: A bi-level co-segmentation method for image classification
-
3, 7
-
Y. Chai, V. Lempitsky, and A. Zisserman. BiCoS: A Bi-level Co-Segmentation Method for Image Classification. In ICCV, 2011. 3, 7
-
(2011)
ICCV
-
-
Chai, Y.1
Lempitsky, V.2
Zisserman, A.3
-
5
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
6
-
K. Chatfield, V. Lempitsky, A. Vedaldi and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. In BMVC, 2011. 6
-
(2011)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
6
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
4
-
N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. 4
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
7
-
-
77951298115
-
The pascal visual object classes (VOC) challenge
-
4, 6
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The Pascal Visual Object Classes (VOC) Challenge. IJCV, 2010. 4, 6
-
(2010)
IJCV
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
9
-
-
33144466753
-
One-Shot learning of object categories
-
4
-
L. Fei-Fei and R. Fergus. One-Shot learning of object categories. TPAMI, 2006. 4
-
(2006)
TPAMI
-
-
Fei-Fei, L.1
Fergus, R.2
-
10
-
-
33745155436
-
A bayesian hierarchical model for learning natural scene categories
-
1
-
L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005. 1
-
(2005)
CVPR
-
-
Fei-Fei, L.1
Perona, P.2
-
11
-
-
77955422240
-
Object detection with discriminatively trained part-based models
-
4, 6
-
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object Detection with Discriminatively Trained Part-Based Models. TPAMI, 2010. 4, 6
-
(2010)
TPAMI
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
12
-
-
79959771606
-
Improving the fisher kernel for large-scale image classification
-
4, 6, 7, 8
-
F. Perronnin, J. Sanchez, and T. Mensink. Improving the Fisher Kernel for Large-Scale Image Classification. In ECCV, 2010. 4, 6, 7, 8
-
(2010)
ECCV
-
-
Perronnin, F.1
Sanchez, J.2
Mensink, T.3
-
13
-
-
85067032737
-
On feature combination for multi-class object classification
-
7
-
P. Gehler and S. Nowozin. On feature combination for multi-class object classification. In ICCV, 2009. 7
-
(2009)
ICCV
-
-
Gehler, P.1
Nowozin, S.2
-
14
-
-
33745855044
-
The pyramid match kernel: Discriminative classification with sets of image features
-
2, 4
-
K. Grauman and T. Darrell. The pyramid match kernel: Discriminative classification with sets of image features. In ICCV, 2005. 2, 4
-
(2005)
ICCV
-
-
Grauman, K.1
Darrell, T.2
-
15
-
-
84856654029
-
Object classification using heterogeneous co-occurrence features
-
S. Ito and S. Kubota. Object Classification Using Heterogeneous Co-occurrence Features. In ECCV, 2010.
-
(2010)
ECCV
-
-
Ito, S.1
Kubota, S.2
-
16
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
2
-
L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. TPAMI, 1998. 2
-
(1998)
TPAMI
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
17
-
-
77956006319
-
Robust classification of objects, faces, and flowers using natural image statistics
-
2, 6, 7
-
C. Kanan and G. Cottrell. Robust classification of objects, faces, and flowers using natural image statistics. In CVPR, 2010. 2, 6, 7
-
(2010)
CVPR
-
-
Kanan, C.1
Cottrell, G.2
-
18
-
-
84866662571
-
Top-down color attention for object recognition
-
2
-
F. S. Khan and J. van de Weijer. Top-down color attention for object recognition. In CVPR, 2009. 2
-
(2009)
CVPR
-
-
Khan, F.S.1
Van De Weijer, J.2
-
19
-
-
0022388528
-
Shifts in selective visual attention: Towards the underlying neural circuitry
-
2
-
C. Koch and S. Ullman. Shifts in selective visual attention: towards the underlying neural circuitry. Hum Neurobiol, 1985. 2
-
(1985)
Hum Neurobiol
-
-
Koch, C.1
Ullman, S.2
-
20
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
1, 2, 4, 5
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In CVPR, 2006. 1, 2, 4, 5
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
21
-
-
77955990360
-
Object recognition as ranking holistic figure-ground hypotheses
-
4
-
F. Li, J. Carreira, and C. Sminchisescu. Object recognition as ranking holistic figure-ground hypotheses. In CVPR, 2010. 4
-
(2010)
CVPR
-
-
Li, F.1
Carreira, J.2
Sminchisescu, C.3
-
22
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
4
-
D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004. 4
-
(2004)
IJCV
-
-
Lowe, D.1
-
23
-
-
77249156314
-
Learning object representations for visual object class recognition
-
7, 8
-
M. Marszalek, C. Schmid, H. Harzallah, and J. van de Weijer. Learning object representations for visual object class recognition. In Visual Recognition Challange workshop, ICCV, 2007. 7, 8
-
(2007)
Visual Recognition Challange Workshop, ICCV
-
-
Marszalek, M.1
Schmid, C.2
Harzallah, H.3
Van De Weijer, J.4
-
24
-
-
33845570201
-
A visual vocabulary for flower classification
-
6
-
M.-E. Nilsback and A. Zisserman. A Visual Vocabulary for Flower Classification. In CVPR, 2006. 6
-
(2006)
CVPR
-
-
Nilsback, M.-E.1
Zisserman, A.2
-
25
-
-
65249121810
-
Automated flower classification over a large number of classes
-
6
-
M.-E. Nilsback and A. Zisserman. Automated Flower Classification over a Large Number of Classes. In ICVGIP, 2008. 6
-
(2008)
ICVGIP
-
-
Nilsback, M.-E.1
Zisserman, A.2
-
26
-
-
0029669420
-
A comparative study of texture measures with classification based on featured distributions
-
4
-
T. Ojala, M. Pietikäinen, and D. Harwood. A comparative study of texture measures with classification based on featured distributions. PR, 1996. 4
-
(1996)
PR
-
-
Ojala, T.1
Pietikäinen, M.2
Harwood, D.3
-
30
-
-
31744441556
-
A globally convergent and consistent method for estimating the shape parameter of a generalized Gaussian distribution
-
5
-
K.-S. Song. A globally convergent and consistent method for estimating the shape parameter of a generalized Gaussian distribution. TIT, 2006. 5
-
(2006)
TIT
-
-
Song, K.-S.1
-
31
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
4
-
T. Sim, S. Baker, and M. Bsat The CMU Pose, Illumination, and Expression Database. TPAMI, 2003. 4
-
(2003)
TPAMI
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
32
-
-
80052891624
-
Contextualizing object detection and classification
-
7, 8
-
Z. Song, Q. Chen, Z. Huang, Y. Hua, and S. Yan. Contextualizing object detection and classification. In CVPR, 2011. 7, 8
-
(2011)
CVPR
-
-
Song, Z.1
Chen, Q.2
Huang, Z.3
Hua, Y.4
Yan, S.5
-
33
-
-
33750341577
-
Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search
-
2
-
A. Torralba, A. Oliva, M. S. Castelhano, and J. M. Henderson. Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. Psychological Review, 2006. 2
-
(2006)
Psychological Review
-
-
Torralba, A.1
Oliva, A.2
Castelhano, M.S.3
Henderson, J.M.4
-
37
-
-
84866662628
-
Efficient additive kernels via explicit feature maps
-
5
-
A. Vedaldi and A. Zisserman. Efficient Additive Kernels via Explicit Feature Maps. TPAMI, 2011. 5
-
(2011)
TPAMI
-
-
Vedaldi, A.1
Zisserman, A.2
-
38
-
-
77953177673
-
Joint learning of visual attributes, object classes and visual saliency
-
2
-
G. Wang and D. Forsyth. Joint learning of visual attributes, object classes and visual saliency. In ICCV, 2009. 2
-
(2009)
ICCV
-
-
Wang, G.1
Forsyth, D.2
-
39
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
4, 7, 8
-
J. Wang, J. Yang, K. Yu, F. Lv, and T. Huang. Locality-constrained linear coding for image classification. In CVPR, 2010. 4, 7, 8
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
-
40
-
-
80052891795
-
Caltech-UCSD birds 200
-
CNS-TR-2010-001, 4, 6
-
P.Welinder, S. Branson, T. Mita, C.Wah, F. Schroff, S. Belongie, and P. Perona. Caltech-UCSD birds 200. Technical report, California Institute of Technology, CNS-TR-2010-001, 2010. 4, 6
-
(2010)
Technical Report, California Institute of Technology
-
-
Welinder, P.1
Branson, S.2
Mita, T.3
Wah, C.4
Schroff, F.5
Belongie, S.6
Perona, P.7
-
41
-
-
84866724620
-
Region-based image classification with a latent SVM model
-
2
-
O. Yakhnenko and J. Verbeek. Region-Based Image Classification with a Latent SVM Model. Technical report, INRIA, 2011. 2
-
(2011)
Technical Report INRIA
-
-
Yakhnenko, O.1
Verbeek, J.2
-
42
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
4
-
J. Yang, K. Yu, and Y. Gong. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009. 4
-
(2009)
CVPR
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
-
43
-
-
58149506125
-
SUN: A Bayesian framework for saliency using natural statistics
-
5, 6
-
L. Zhang, M. Tong, T. Marks, H. Shan, and G. W. Cottrell. SUN: A Bayesian framework for saliency using natural statistics. Journal of Vision, 2008. 5, 6
-
(2008)
Journal of Vision
-
-
Zhang, L.1
Tong, M.2
Marks, T.3
Shan, H.4
Cottrell, G.W.5
-
44
-
-
80052886214
-
Image classification using super-vector coding of local image descriptors
-
4
-
X. Zhou, K. Yu, and T. Zhang. Image classification using super-vector coding of local image descriptors. In ECCV, 2010. 4
-
(2010)
ECCV
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
|