-
1
-
-
33947167478
-
Face description with local binary patterns: Application to face recognition
-
Ahonen, T., Hadid, A., & Pietikinen, M. (2006). Face description with local binary patterns: Application to face recognition. Pattern Analysis and Machine Intelligence, 28(14), 2037–2041.
-
(2006)
Pattern Analysis and Machine Intelligence
, vol.28
, Issue.14
, pp. 2037-2041
-
-
Ahonen, T.1
Hadid, A.2
Pietikinen, M.3
-
2
-
-
84866688216
-
Measuring the objectness of image windows
-
Alexe, B., Deselares, T., & Ferrari, V. (2012). Measuring the objectness of image windows. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2189–2202.
-
(2012)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.34
, Issue.11
, pp. 2189-2202
-
-
Alexe, B.1
Deselares, T.2
Ferrari, V.3
-
3
-
-
84866678025
-
-
Arandjelovic, R., & Zisserman, A. (2012). Three things everyone should know to improve object retrieval. In CVPR
-
Arandjelovic, R., & Zisserman, A. (2012). Three things everyone should know to improve object retrieval. In CVPR.
-
-
-
-
4
-
-
85119023915
-
-
Arbeláez, P., Pont-Tuset, J., Barron, J., Marques, F., & Malik, J. (2014). Multiscale combinatorial grouping. In Computer vision and pattern recognition
-
Arbeláez, P., Pont-Tuset, J., Barron, J., Marques, F., & Malik, J. (2014). Multiscale combinatorial grouping. In Computer vision and pattern recognition.
-
-
-
-
5
-
-
79953048649
-
Contour detection and hierarchical image segmentation
-
Arbelaez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour detection and hierarchical image segmentation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 33, 898–916.
-
(2011)
IEEE Transaction on Pattern Analysis and Machine Intelligence
, vol.33
, pp. 898-916
-
-
Arbelaez, P.1
Maire, M.2
Fowlkes, C.3
Malik, J.4
-
6
-
-
84947019536
-
-
Cloudcv: Large-scale distributed computer vision as a cloud service
-
Batra, D., Agrawal, H., Banik, P., Chavali, N., Mathialagan, C. S., & Alfadda, A. (2013). Cloudcv: Large-scale distributed computer vision as a cloud service.
-
(2013)
S., & Alfadda, A
-
-
Batra, D.1
Agrawal, H.2
Banik, P.3
Chavali, N.4
Mathialagan, C.5
-
7
-
-
84880793590
-
-
Bell, S., Upchurch, P., Snavely, N., & Bala, K. (2013). OpenSurfaces: A richly annotated catalog of surface appearance. In ACM transactions on graphics (SIGGRAPH)
-
Bell, S., Upchurch, P., Snavely, N., & Bala, K. (2013). OpenSurfaces: A richly annotated catalog of surface appearance. In ACM transactions on graphics (SIGGRAPH).
-
-
-
-
8
-
-
84947041717
-
-
Maji, S, Fine-grained competition
-
Berg, A., Farrell, R., Khosla, A., Krause, J., Fei-Fei, L., Li, J., & Maji, S. (2013). Fine-grained competition. https://sites.google.com/site/fgcomp2013/.
-
(2013)
Fine-grained competition
-
-
Berg, A.1
Farrell, R.2
Khosla, A.3
Krause, J.4
Fei-Fei, L.5
Li, J.6
-
9
-
-
85072028231
-
Return of the devil in the details: Delving deep into convolutional nets
-
Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014). Return of the devil in the details: Delving deep into convolutional nets. CoRR, abs/1405.3531.
-
(2014)
CoRR, abs/1405
, pp. 3531
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
10
-
-
84947026632
-
-
Chen, Q., Song, Z., Huang, Z., Hua, Y., & Yan, S. (2014). Contextualizing object detection and classification. In CVPR
-
Chen, Q., Song, Z., Huang, Z., Hua, Y., & Yan, S. (2014). Contextualizing object detection and classification. In CVPR.
-
-
-
-
11
-
-
33646371466
-
Online passive-aggressive algorithms
-
Crammer, K., Dekel, O., Keshet, J., Shalev-Shwartz, S., & Singer, Y. (2006). Online passive-aggressive algorithms. Journal of Machine Learning Research, 7, 551–585.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 551-585
-
-
Crammer, K.1
Dekel, O.2
Keshet, J.3
Shalev-Shwartz, S.4
Singer, Y.5
-
13
-
-
84887378604
-
-
Dean, T., Ruzon, M., Segal, M., Shlens, J., Vijayanarasimhan, S., & Yagnik, J. (2013). Fast, accurate detection of 100,000 object classes on a single machine. In CVPR
-
Dean, T., Ruzon, M., Segal, M., Shlens, J., Vijayanarasimhan, S., & Yagnik, J. (2013). Fast, accurate detection of 100,000 object classes on a single machine. In CVPR.
-
-
-
-
14
-
-
84947042020
-
-
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009). ImageNet: A large-scale hierarchical image database. In CVPR
-
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009). ImageNet: A large-scale hierarchical image database. In CVPR.
-
-
-
-
15
-
-
84900456924
-
-
Deng, J., Russakovsky, O., Krause, J., Bernstein, M., Berg, A. C., & Fei-Fei, L. (2014). Scalable multi-label annotation. In CHI
-
Deng, J., Russakovsky, O., Krause, J., Bernstein, M., Berg, A. C., & Fei-Fei, L. (2014). Scalable multi-label annotation. In CHI.
-
-
-
-
16
-
-
84906504048
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., & Darrell, T. (2013). Decaf: A deep convolutional activation feature for generic visual recognition. CoRR, abs/1310.1531.
-
(2013)
CoRR, abs/1310
, pp. 1531
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
17
-
-
84947033932
-
-
Dubout, C., & Fleuret, F. (2012). Exact acceleration of linear object detectors. In Proceedings of the European conference on computer vision (ECCV)
-
Dubout, C., & Fleuret, F. (2012). Exact acceleration of linear object detectors. In Proceedings of the European conference on computer vision (ECCV).
-
-
-
-
18
-
-
84947038621
-
-
Everingham, M., Gool, L. V., Williams, C., Winn, J., & Zisserman, A. (2005–2012). PASCAL Visual Object Classes Challenge (VOC)
-
Everingham, M., Gool, L. V., Williams, C., Winn, J., & Zisserman, A. (2005–2012). PASCAL Visual Object Classes Challenge (VOC). http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html.
-
-
-
-
19
-
-
77951298115
-
The Pascal Visual Object Classes (VOC) challenge
-
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010). The Pascal Visual Object Classes (VOC) challenge. International Journal of Computer Vision, 88(2), 303–338.
-
(2010)
International Journal of Computer Vision
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
20
-
-
84921069139
-
The Pascal Visual Object Classes (VOC) challenge—A retrospective
-
Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2014). The Pascal Visual Object Classes (VOC) challenge—A retrospective. International Journal of Computer Vision, 111, 98–136.
-
(2014)
International Journal of Computer Vision
, vol.111
, pp. 98-136
-
-
Everingham, M.1
Eslami, S.M.A.2
Van Gool, L.3
Williams, C.K.I.4
Winn, J.5
Zisserman, A.6
-
21
-
-
85118285882
-
-
Fei-Fei, L., & Perona, P. (2005). A Bayesian hierarchical model for learning natural scene categories. In CVPR
-
Fei-Fei, L., & Perona, P. (2005). A Bayesian hierarchical model for learning natural scene categories. In CVPR.
-
-
-
-
22
-
-
84932617705
-
-
Fei-Fei, L., Fergus, R., & Perona, P. (2004). Learning generative visual models from few examples: An incremental bayesian approach tested on 101 object categories. In CVPR
-
Fei-Fei, L., Fergus, R., & Perona, P. (2004). Learning generative visual models from few examples: An incremental bayesian approach tested on 101 object categories. In CVPR.
-
-
-
-
23
-
-
77955422240
-
Object detection with discriminatively trained part based models
-
Felzenszwalb, P., Girshick, R., McAllester, D., & Ramanan, D. (2010). Object detection with discriminatively trained part based models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1627–1645.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
24
-
-
84898958665
-
-
Frome, A., Corrado, G., Shlens, J., Bengio, S., Dean, J., Ranzato, M., & Mikolov, T. (2013). Devise: A deep visual-semantic embedding model. In Advances in neural information processing systems, NIPS
-
Frome, A., Corrado, G., Shlens, J., Bengio, S., Dean, J., Ranzato, M., & Mikolov, T. (2013). Devise: A deep visual-semantic embedding model. In Advances in neural information processing systems, NIPS.
-
-
-
-
25
-
-
84884231503
-
Vision meets robotics: The kitti dataset
-
Geiger, A., Lenz, P., Stiller, C., & Urtasun, R. (2013). Vision meets robotics: The kitti dataset. International Journal of Robotics Research, 32, 1231–1237.
-
(2013)
International Journal of Robotics Research
, vol.32
, pp. 1231-1237
-
-
Geiger, A.1
Lenz, P.2
Stiller, C.3
Urtasun, R.4
-
26
-
-
84913561844
-
Rich feature hierarchies for accurate object detection and semantic segmentation (v4)
-
Girshick, R. B., Donahue, J., Darrell, T., & Malik, J. (2013). Rich feature hierarchies for accurate object detection and semantic segmentation (v4). CoRR.
-
(2013)
CoRR
-
-
Girshick, R.B.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
27
-
-
85119024475
-
-
Girshick, R., Donahue, J., Darrell, T., & Malik., J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR
-
Girshick, R., Donahue, J., Darrell, T., & Malik., J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR.
-
-
-
-
28
-
-
77953205895
-
-
Gould, S., Fulton, R., & Koller, D. (2009). Decomposing a scene into geometric and semantically consistent regions. In ICCV
-
Gould, S., Fulton, R., & Koller, D. (2009). Decomposing a scene into geometric and semantically consistent regions. In ICCV.
-
-
-
-
29
-
-
84947022218
-
Sparse arrays of signatures for online character recognition
-
Graham, B. (2013). Sparse arrays of signatures for online character recognition. CoRR.
-
(2013)
CoRR
-
-
Graham, B.1
-
30
-
-
34948904828
-
Caltech-256 object category dataset. Technical report 7694
-
Griffin, G., Holub, A., & Perona, P. (2007). Caltech-256 object category dataset. Technical report 7694, Caltech.
-
(2007)
Caltech
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
31
-
-
84877733204
-
-
Harada, T., & Kuniyoshi, Y. (2012). Graphical Gaussian vector for image categorization. In NIPSc
-
Harada, T., & Kuniyoshi, Y. (2012). Graphical Gaussian vector for image categorization. In NIPS.
-
-
-
-
32
-
-
84864037603
-
-
Harel, J., Koch, C., & Perona, P. (2007). Graph-based visual saliency. In NIPS
-
Harel, J., Koch, C., & Perona, P. (2007). Graph-based visual saliency. In NIPS.
-
-
-
-
33
-
-
84947029595
-
-
He, K., Zhang, X., Ren, S., & Su, J. (2014). Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV
-
He, K., Zhang, X., Ren, S., & Su, J. (2014). Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV.
-
-
-
-
34
-
-
84890466217
-
Improving neural networks by preventing co-adaptation of feature detectors
-
Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2012). Improving neural networks by preventing co-adaptation of feature detectors. CoRR, abs/1207.0580.
-
(2012)
CoRR, abs/1207
, pp. 0580
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
35
-
-
84947018361
-
-
Hoiem, D., Chodpathumwan, Y., & Dai, Q. (2012). Diagnosing error in object detectors. In ECCV
-
Hoiem, D., Chodpathumwan, Y., & Dai, Q. (2012). Diagnosing error in object detectors. In ECCV.
-
-
-
-
36
-
-
85083952994
-
-
Howard, A. (2014). Some improvements on deep convolutional neural network based image classification. In ICLR
-
Howard, A. (2014). Some improvements on deep convolutional neural network based image classification. In ICLR.
-
-
-
-
37
-
-
51849117118
-
Labeled faces in the wild: A database for studying face recognition in unconstrained environments
-
University of Massachusetts, Amherst
-
Huang, G. B., Ramesh, M., Berg, T., & Learned-Miller, E. (2007). Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical report 07–49, University of Massachusetts, Amherst.
-
(2007)
Technical report 07–49
-
-
Huang, G.B.1
Ramesh, M.2
Berg, T.3
Learned-Miller, E.4
-
38
-
-
84947018064
-
-
Densenet: Implementing efficient convnet descriptor pyramids. CoRR
-
Iandola, F. N., Moskewicz, M. W., Karayev, S., Girshick, R. B., Darrell, T., & Keutzer, K. (2014). Densenet: Implementing efficient convnet descriptor pyramids. CoRR.
-
(2014)
& Keutzer, K
-
-
Iandola, F.N.1
Moskewicz, M.W.2
Karayev, S.3
Girshick, R.B.4
Darrell, T.5
-
39
-
-
84947027248
-
-
Caffe: An open source convolutional architecture for fast feature embedding
-
Jia, Y. (2013). Caffe: An open source convolutional architecture for fast feature embedding. http://caffe.berkeleyvision.org/.
-
(2013)
Convolutional architecture
-
-
-
40
-
-
0344551961
-
-
Jojic, N., Frey, B. J., & Kannan, A. (2003). Epitomic analysis of appearance and shape. In ICCV
-
Jojic, N., Frey, B. J., & Kannan, A. (2003). Epitomic analysis of appearance and shape. In ICCV.
-
-
-
-
41
-
-
85118318154
-
-
Kanezaki, A., Inaba, S., Ushiku, Y., Yamashita, Y., Muraoka, H., Kuniyoshi, Y., & Harada, T. (2014). Hard negative classes for multiple object detection. In ICRA
-
Kanezaki, A., Inaba, S., Ushiku, Y., Yamashita, Y., Muraoka, H., Kuniyoshi, Y., & Harada, T. (2014). Hard negative classes for multiple object detection. In ICRA.
-
-
-
-
42
-
-
84947033886
-
-
Khosla, A., Jayadevaprakash, N., Yao, B., & Fei-Fei, L. (2011). Novel dataset for fine-grained image categorization. In First workshop on fine-grained visual categorization, CVPR
-
Khosla, A., Jayadevaprakash, N., Yao, B., & Fei-Fei, L. (2011). Novel dataset for fine-grained image categorization. In First workshop on fine-grained visual categorization, CVPR.
-
-
-
-
43
-
-
84876231242
-
-
Krizhevsky, A., Sutskever, I., & Hinton, G. (2012). ImageNet classification with deep convolutional neural networks. In NIPS
-
Krizhevsky, A., Sutskever, I., & Hinton, G. (2012). ImageNet classification with deep convolutional neural networks. In NIPS.
-
-
-
-
44
-
-
84947029695
-
-
Kuettel, D., Guillaumin, M., & Ferrari, V. (2012). Segmentation propagation in ImageNet. In ECCV
-
Kuettel, D., Guillaumin, M., & Ferrari, V. (2012). Segmentation propagation in ImageNet. In ECCV.
-
-
-
-
45
-
-
33845572523
-
-
Lazebnik, S., Schmid, C., & Ponce, J. (2006). Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR
-
Lazebnik, S., Schmid, C., & Ponce, J. (2006). Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR.
-
-
-
-
46
-
-
85083953135
-
-
Lin, M., Chen, Q., & Yan, S. (2014a). Network in network. In ICLR
-
Lin, M., Chen, Q., & Yan, S. (2014a). Network in network. In ICLR.
-
-
-
-
47
-
-
80052870284
-
-
Lin, Y., Lv, F., Cao, L., Zhu, S., Yang, M., Cour, T., Yu, K., & Huang, T. (2011). Large-scale image classification: Fast feature extraction and SVM training. In CVPR
-
Lin, Y., Lv, F., Cao, L., Zhu, S., Yang, M., Cour, T., Yu, K., & Huang, T. (2011). Large-scale image classification: Fast feature extraction and SVM training. In CVPR.
-
-
-
-
48
-
-
84947039179
-
-
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollr, P., & Zitnick, C. L. (2014b). Microsoft COCO: Common objects in context. In ECCV
-
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollr, P., & Zitnick, C. L. (2014b). Microsoft COCO: Common objects in context. In ECCV.
-
-
-
-
49
-
-
80054898486
-
Nonparametric scene parsing via label transfer
-
Liu, C., Yuen, J., & Torralba, A. (2011). Nonparametric scene parsing via label transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 2368–2382.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, pp. 2368-2382
-
-
Liu, C.1
Yuen, J.2
Torralba, A.3
-
50
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91–110.
-
(2004)
International Journal of Computer Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
51
-
-
85117430373
-
-
Maji, S., & Malik, J. (2009). Object detection using a max-margin hough transform. In CVPR
-
Maji, S., & Malik, J. (2009). Object detection using a max-margin hough transform. In CVPR.
-
-
-
-
52
-
-
84898781017
-
-
Manen, S., Guillaumin, M., & Van Gool, L. (2013). Prime object proposals with randomized Prim’s algorithm. In ICCV
-
Manen, S., Guillaumin, M., & Van Gool, L. (2013). Prime object proposals with randomized Prim’s algorithm. In ICCV.
-
-
-
-
53
-
-
84947017280
-
-
Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G. (2012). Metric learning for large scale image classification: Generalizing to new classes at near-zero cost. In ECCV
-
Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G. (2012). Metric learning for large scale image classification: Generalizing to new classes at near-zero cost. In ECCV.
-
-
-
-
54
-
-
85083951332
-
-
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. In ICLR
-
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. In ICLR.
-
-
-
-
55
-
-
84976702763
-
Wordnet: A lexical database for English
-
Miller, G. A. (1995). Wordnet: A lexical database for English. Commun. ACM, 38(11), 39–41.
-
(1995)
Commun. ACM
, vol.38
, Issue.11
, pp. 39-41
-
-
Miller, G.A.1
-
56
-
-
0035328421
-
-
Oliva, A., & Torralba, A. (2001). Modeling the shape of the scene: A holistic representation of the spatial envelope. In IJCV
-
Oliva, A., & Torralba, A. (2001). Modeling the shape of the scene: A holistic representation of the spatial envelope. In IJCV.
-
-
-
-
57
-
-
84898828265
-
-
Ordonez, V., Deng, J., Choi, Y., Berg, A. C., & Berg, T. L. (2013). From large scale image categorization to entry-level categories. In IEEE international conference on computer vision (ICCV)
-
Ordonez, V., Deng, J., Choi, Y., Berg, A. C., & Berg, T. L. (2013). From large scale image categorization to entry-level categories. In IEEE international conference on computer vision (ICCV).
-
-
-
-
58
-
-
84898788725
-
-
Ouyang, W., & Wang, X. (2013). Joint deep learning for pedestrian detection. In ICCV
-
Ouyang, W., & Wang, X. (2013). Joint deep learning for pedestrian detection. In ICCV.
-
-
-
-
59
-
-
84947018135
-
Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection
-
Ouyang, W., Luo, P., Zeng, X., Qiu, S., Tian, Y., Li, H., Yang, S., Wang, Z., Xiong, Y., Qian, C., Zhu, Z., Wang, R., Loy, C. C., Wang, X., & Tang, X. (2014). Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection. CoRR, abs/1409.3505.
-
(2014)
CoRR, abs/1409
, pp. 3505
-
-
Ouyang, W.1
Luo, P.2
Zeng, X.3
Qiu, S.4
Tian, Y.5
Li, H.6
Yang, S.7
Wang, Z.8
Xiong, Y.9
Qian, C.10
Zhu, Z.11
Wang, R.12
Loy, C.C.13
Wang, X.14
Tang, X.15
-
60
-
-
84947022338
-
Deep epitomic convolutional neural networks
-
Papandreou, G. (2014). Deep epitomic convolutional neural networks. CoRR.
-
(2014)
CoRR
-
-
Papandreou, G.1
-
61
-
-
84947042729
-
-
A. L: Modeling image patches with a generic dictionary of mini-epitomes
-
Papandreou, G., Chen, L.-C., & Yuille, A. L. (2014). Modeling image patches with a generic dictionary of mini-epitomes.
-
(2014)
& Yuille
-
-
Papandreou, G.1
Chen, L.-C.2
-
62
-
-
34948815101
-
-
Perronnin, F., & Dance, C. R. (2007). Fisher kernels on visual vocabularies for image categorization. In CVPR
-
Perronnin, F., & Dance, C. R. (2007). Fisher kernels on visual vocabularies for image categorization. In CVPR.
-
-
-
-
63
-
-
84866652997
-
-
Perronnin, F., Akata, Z., Harchaoui, Z., & Schmid, C. (2012). Towards good practice in large-scale learning for image classification. In CVPR
-
Perronnin, F., Akata, Z., Harchaoui, Z., & Schmid, C. (2012). Towards good practice in large-scale learning for image classification. In CVPR.
-
-
-
-
64
-
-
78149348137
-
-
Perronnin, F., Sánchez, J., & Mensink, T. (2010). Improving the fisher kernel for large-scale image classification. In ECCV (4).
-
Perronnin, F., Sánchez, J., & Mensink, T. (2010). Improving the fisher kernel for large-scale image classification. In ECCV (4).
-
-
-
-
65
-
-
84898805253
-
-
Russakovsky, O., Deng, J., Huang, Z., Berg, A., & Fei-Fei, L. (2013). Detecting avocados to zucchinis: What have we done, & where are we going? In ICCV.
-
Russakovsky, O., Deng, J., Huang, Z., Berg, A., & Fei-Fei, L. (2013). Detecting avocados to zucchinis: What have we done, & where are we going? In ICCV.
-
-
-
-
66
-
-
84947026612
-
-
Russell, B., Torralba, A., Murphy, K., & Freeman, W. T. (2007). LabelMe: A database and web-based tool for image annotation. In IJCV.
-
Russell, B., Torralba, A., Murphy, K., & Freeman, W. T. (2007). LabelMe: A database and web-based tool for image annotation. In IJCV.
-
-
-
-
67
-
-
80052885179
-
-
Sanchez, J., & Perronnin, F. (2011). High-dim. signature compression for large-scale image classification. In CVPR
-
Sanchez, J., & Perronnin, F. (2011). High-dim. signature compression for large-scale image classification. In CVPR.
-
-
-
-
68
-
-
84866552328
-
-
Sanchez, J., Perronnin, F., & de Campos, T. (2012). Modeling spatial layout of images beyond spatial pyramids. In PRL
-
Sanchez, J., Perronnin, F., & de Campos, T. (2012). Modeling spatial layout of images beyond spatial pyramids. In PRL.
-
-
-
-
69
-
-
84866720092
-
-
Scheirer, W., Kumar, N., Belhumeur, P. N., & Boult, T. E. (2012). Multi-attribute spaces: Calibration for attribute fusion and similarity search. In CVPR
-
Scheirer, W., Kumar, N., Belhumeur, P. N., & Boult, T. E. (2012). Multi-attribute spaces: Calibration for attribute fusion and similarity search. In CVPR.
-
-
-
-
70
-
-
84866714584
-
-
Schmidhuber, J. (2012). Multi-column deep neural networks for image classification. In CVPR
-
Schmidhuber, J. (2012). Multi-column deep neural networks for image classification. In CVPR.
-
-
-
-
71
-
-
84906486689
-
Overfeat: Integrated recognition, localization and detection using convolutional networks
-
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., & LeCun, Y. (2013). Overfeat: Integrated recognition, localization and detection using convolutional networks. CoRR, abs/1312.6229.
-
(2013)
CoRR, abs/1312
, pp. 6229
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
72
-
-
65449144451
-
-
Sheng, V. S., Provost, F., & Ipeirotis, P. G. (2008). Get another label? Improving data quality and data mining using multiple, noisy labelers. In SIGKDD
-
Sheng, V. S., Provost, F., & Ipeirotis, P. G. (2008). Get another label? Improving data quality and data mining using multiple, noisy labelers. In SIGKDD.
-
-
-
-
73
-
-
84933585162
-
Very deep convolutional networks for large-scale image recognition
-
Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556.
-
(2014)
CoRR, abs/1409
, pp. 1556
-
-
Simonyan, K.1
Zisserman, A.2
-
74
-
-
84897374881
-
-
Simonyan, K., Vedaldi, A., & Zisserman, A. (2013). Deep fisher networks for large-scale image classification. In NIPS
-
Simonyan, K., Vedaldi, A., & Zisserman, A. (2013). Deep fisher networks for large-scale image classification. In NIPS.
-
-
-
-
75
-
-
84947034015
-
-
Sorokin, A., & Forsyth, D. (2008). Utility data annotation with Amazon Mechanical Turk. In InterNet08
-
Sorokin, A., & Forsyth, D. (2008). Utility data annotation with Amazon Mechanical Turk. In InterNet08.
-
-
-
-
76
-
-
84875707366
-
-
Su, H., Deng, J., & Fei-Fei, L. (2012). Crowdsourcing annotations for visual object detection. In AAAI human computation workshop
-
Su, H., Deng, J., & Fei-Fei, L. (2012). Crowdsourcing annotations for visual object detection. In AAAI human computation workshop.
-
-
-
-
77
-
-
84942376167
-
-
Going deeper with convolutions, Technical report
-
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., & Rabinovich, A. (2014). Going deeper with convolutions. Technical report.
-
(2014)
& Rabinovich, A
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
-
78
-
-
84913544638
-
Deep learning using support vector machines
-
Tang, Y. (2013). Deep learning using support vector machines. CoRR, abs/1306.0239.
-
(2013)
CoRR, abs/1306
, pp. 0239
-
-
Tang, Y.1
-
79
-
-
0029895137
-
Speed of processing in the human visual system
-
Thorpe, S., Fize, D., Marlot, C., et al. (1996). Speed of processing in the human visual system. Nature, 381(6582), 520–522.
-
(1996)
Nature
, vol.381
, Issue.6582
, pp. 520-522
-
-
Thorpe, S.1
Fize, D.2
Marlot, C.3
-
80
-
-
80052908300
-
-
Torralba, A., & Efros, A. A. (2011). Unbiased look at dataset bias. In CVPR’11
-
Torralba, A., & Efros, A. A. (2011). Unbiased look at dataset bias. In CVPR’11.
-
-
-
-
81
-
-
54749092170
-
80 million tiny images: A large data set for nonparametric object and scene recognition
-
Torralba, A., Fergus, R., & Freeman, W. (2008). 80 million tiny images: A large data set for nonparametric object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 1958–1970.
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.30
, pp. 1958-1970
-
-
Torralba, A.1
Fergus, R.2
Freeman, W.3
-
82
-
-
84881160857
-
Selective search for object recognition
-
Uijlings, J., van de Sande, K., Gevers, T., & Smeulders, A. (2013). Selective search for object recognition. International Journal of Computer Vision, 104, 154–171.
-
(2013)
International Journal of Computer Vision
, vol.104
, pp. 154-171
-
-
Uijlings, J.1
van de Sande, K.2
Gevers, T.3
Smeulders, A.4
-
83
-
-
84947030419
-
-
Urtasun, R., Fergus, R., Hoiem, D., Torralba, A., Geiger, A., Lenz, P., Silberman, N., Xiao, J., & Fidler, S. (2013–2014). Reconstruction meets recognition challenge
-
Urtasun, R., Fergus, R., Hoiem, D., Torralba, A., Geiger, A., Lenz, P., Silberman, N., Xiao, J., & Fidler, S. (2013–2014). Reconstruction meets recognition challenge. http://ttic.uchicago.edu/rurtasun/rmrc/.
-
-
-
-
84
-
-
85119025092
-
-
van de Sande, K. E. A., Snoek, C. G. M., & Smeulders, A. W. M. (2014). Fisher and vlad with flair. In Proceedings of the IEEE conference on computer vision and pattern recognition
-
van de Sande, K. E. A., Snoek, C. G. M., & Smeulders, A. W. M. (2014). Fisher and vlad with flair. In Proceedings of the IEEE conference on computer vision and pattern recognition.
-
-
-
-
85
-
-
84856655938
-
-
van de Sande, K. E. A., Uijlings, J. R. R., Gevers, T., & Smeulders, A. W. M. (2011b). Segmentation as selective search for object recognition. In ICCV
-
van de Sande, K. E. A., Uijlings, J. R. R., Gevers, T., & Smeulders, A. W. M. (2011b). Segmentation as selective search for object recognition. In ICCV.
-
-
-
-
86
-
-
77955426203
-
Evaluating color descriptors for object and scene recognition
-
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2010). Evaluating color descriptors for object and scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1582–1596.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1582-1596
-
-
van de Sande, K.E.A.1
Gevers, T.2
Snoek, C.G.M.3
-
87
-
-
78951492346
-
Empowering visual categorization with the GPU
-
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2011a). Empowering visual categorization with the GPU. IEEE Transactions on Multimedia, 13(1), 60–70.
-
(2011)
IEEE Transactions on Multimedia
, vol.13
, Issue.1
, pp. 60-70
-
-
van de Sande, K.E.A.1
Gevers, T.2
Snoek, C.G.M.3
-
88
-
-
84898435304
-
-
Vittayakorn, S., & Hays, J. (2011). Quality assessment for crowdsourced object annotations. In BMVC
-
Vittayakorn, S., & Hays, J. (2011). Quality assessment for crowdsourced object annotations. In BMVC.
-
-
-
-
89
-
-
32944456748
-
-
von Ahn, L., & Dabbish, L. (2005). Esp: Labeling images with a computer game. In AAAI spring symposium: Knowledge collection from volunteer contributors
-
von Ahn, L., & Dabbish, L. (2005). Esp: Labeling images with a computer game. In AAAI spring symposium: Knowledge collection from volunteer contributors.
-
-
-
-
90
-
-
84873165828
-
Efficiently scaling up crowdsourced video annotation
-
Vondrick, C., Patterson, D., & Ramanan, D. (2012). Efficiently scaling up crowdsourced video annotation. International Journal of Computer Vision, 1010, 184–204.
-
(2012)
International Journal of Computer Vision
, vol.1010
, pp. 184-204
-
-
Vondrick, C.1
Patterson, D.2
Ramanan, D.3
-
91
-
-
84897550107
-
-
Wan, L., Zeiler, M., Zhang, S., LeCun, Y., & Fergus, R. (2013). Regularization of neural networks using dropconnect. In Proceedings of the international conference on machine learning (ICML’13)
-
Wan, L., Zeiler, M., Zhang, S., LeCun, Y., & Fergus, R. (2013). Regularization of neural networks using dropconnect. In Proceedings of the international conference on machine learning (ICML’13).
-
-
-
-
92
-
-
84947030562
-
-
Wang, M., Xiao, T., Li, J., Hong, C., Zhang, J., & Zhang, Z. (2014). Minerva: A scalable and highly efficient training platform for deep learning. In APSys
-
Wang, M., Xiao, T., Li, J., Hong, C., Zhang, J., & Zhang, Z. (2014). Minerva: A scalable and highly efficient training platform for deep learning. In APSys.
-
-
-
-
93
-
-
77955996870
-
-
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010). Locality-constrained linear coding for image classification. In CVPR
-
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010). Locality-constrained linear coding for image classification. In CVPR.
-
-
-
-
94
-
-
84898769710
-
-
Wang, X., Yang, M., Zhu, S., & Lin, Y. (2013). Regionlets for generic object detection. In ICCV
-
Wang, X., Yang, M., Zhu, S., & Lin, Y. (2013). Regionlets for generic object detection. In ICCV.
-
-
-
-
95
-
-
85161970183
-
-
Welinder, P., Branson, S., Belongie, S., & Perona, P. (2010). The multidimensional wisdom of crowds. In NIPS
-
Welinder, P., Branson, S., Belongie, S., & Perona, P. (2010). The multidimensional wisdom of crowds. In NIPS.
-
-
-
-
96
-
-
77955988947
-
-
Xiao, J., Hays, J., Ehinger, K., Oliva, A., & Torralba., A. (2010). SUN database: Large-scale scene recognition from Abbey to Zoo. In CVPR
-
Xiao, J., Hays, J., Ehinger, K., Oliva, A., & Torralba., A. (2010). SUN database: Large-scale scene recognition from Abbey to Zoo. In CVPR.
-
-
-
-
97
-
-
85117430418
-
-
Yang, J., Yu, K., Gong, Y., & Huang, T. (2009). Linear spatial pyramid matching using sparse coding for image classification. In CVPR
-
Yang, J., Yu, K., Gong, Y., & Huang, T. (2009). Linear spatial pyramid matching using sparse coding for image classification. In CVPR.
-
-
-
-
98
-
-
34548709821
-
-
Springer, Berlin
-
Yao, B., Yang, X., & Zhu, S.-C. (2007). Introduction to a large scale general purpose ground truth dataset: methodology, annotation tool, and benchmarks. Berlin: Springer.
-
(2007)
Introduction to a large scale general purpose ground truth dataset: methodology, annotation tool, and benchmarks
-
-
Yao, B.1
Yang, X.2
Zhu, S.-C.3
-
99
-
-
84906341064
-
Visualizing and understanding convolutional networks
-
Zeiler, M. D., & Fergus, R. (2013). Visualizing and understanding convolutional networks. CoRR, abs/1311.2901.
-
(2013)
CoRR, abs/1311
, pp. 2901
-
-
Zeiler, M.D.1
Fergus, R.2
-
100
-
-
84856686379
-
-
Zeiler, M. D., Taylor, G. W., & Fergus, R. (2011). Adaptive deconvolutional networks for mid and high level feature learning. In ICCV.
-
Zeiler, M. D., Taylor, G. W., & Fergus, R. (2011). Adaptive deconvolutional networks for mid and high level feature learning. In ICCV.
-
-
-
-
101
-
-
84937964578
-
-
Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., & Oliva, A. (2014). Learning deep features for scene recognition using places database. In NIPS
-
Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., & Oliva, A. (2014). Learning deep features for scene recognition using places database. In NIPS.
-
-
-
-
102
-
-
84947022971
-
-
Zhou, X., Yu, K., Zhang, T., & Huang, T. (2010). Image classification using super-vector coding of local image descriptors. In ECCV.
-
Zhou, X., Yu, K., Zhang, T., & Huang, T. (2010). Image classification using super-vector coding of local image descriptors. In ECCV.
-
-
-
|