-
2
-
-
84925435475
-
Local novelty detection in multi-class recognition problems
-
1
-
P. Bodesheim, A. Freytag, E. Rodner, and J. Denzler. Local novelty detection in multi-class recognition problems. In Winter Conference on Applications of Computer Vision, 2015 IEEE Conference on. IEEE, 2015.
-
(2015)
Winter Conference on Applications of Computer Vision, 2015 IEEE Conference On. IEEE
-
-
Bodesheim, P.1
Freytag, A.2
Rodner, E.3
Denzler, J.4
-
3
-
-
85072028231
-
Return of the devil in the details: Delving deep into convolutional nets
-
1
-
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman. Return of the devil in the details: Delving deep into convolutional nets. In Proceedings of the British Machine Vision Conference, (BMVC), 2014.
-
(2014)
Proceedings of the British Machine Vision Conference, (BMVC)
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
5
-
-
84887378604
-
Fast, accurate detection of 100, 000 object classes on a single machine
-
IEEE, 1
-
T. Dean, M. A. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, and J. Yagnik. Fast, accurate detection of 100, 000 object classes on a single machine. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 1814-1821. IEEE, 2013.
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
, pp. 1814-1821
-
-
Dean, T.1
Ruzon, M.A.2
Segal, M.3
Shlens, J.4
Vijayanarasimhan, S.5
Yagnik, J.6
-
6
-
-
84959250180
-
From captions to visual concepts and back
-
1
-
H. Fang, S. Gupta, F. Iandola, R. Srivastava, L. Deng, P. Dollar, J. Gao, X. He, M. Mitchell, P. John, L. Zitnick, and G. Zweig. From captions to visual concepts and back. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015.
-
(2015)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE
-
-
Fang, H.1
Gupta, S.2
Iandola, F.3
Srivastava, R.4
Deng, L.5
Dollar, P.6
Gao, J.7
He, X.8
Mitchell, M.9
John, P.10
Zitnick, L.11
Zweig, G.12
-
7
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
8
-
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al. Devise: A deep visual-semantic embedding model. In Advances in Neural Information Processing Systems, pages 2121-2129, 2013.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 2121-2129
-
-
Frome, A.1
Corrado, G.S.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Mikolov, T.6
-
9
-
-
84898461950
-
Has my algorithm succeeded an evaluator for human pose estimators
-
Springer, 2
-
N. Jammalamadaka, A. Zisserman, M. Eichner, V. Ferrari, and C. Jawahar. Has my algorithm succeeded an evaluator for human pose estimators. In Computer Vision-ECCV 2012. Springer, 2014.
-
(2014)
Computer Vision-ECCV 2012
-
-
Jammalamadaka, N.1
Zisserman, A.2
Eichner, M.3
Ferrari, V.4
Jawahar, C.5
-
10
-
-
85009867858
-
-
arXiv preprint arXiv: 1408. 5093, 5, 7
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. ArXiv preprint arXiv: 1408. 5093, 2014.
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
12
-
-
84883488616
-
Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
-
4
-
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka. Metric learning for large scale image classification: Generalizing to new classes at near-zero cost. In ECCV, 2012.
-
(2012)
ECCV
-
-
Mensink, T.1
Verbeek, J.2
Perronnin, F.3
Csurka, G.4
-
13
-
-
84884582871
-
Distance-based image classification: Generalizing to new classes at near-zero cost
-
4, 5
-
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka. Distance-based image classification: Generalizing to new classes at near-zero cost. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35 (11): 2624-2637, 2013.
-
(2013)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.35
, Issue.11
, pp. 2624-2637
-
-
Mensink, T.1
Verbeek, J.2
Perronnin, F.3
Csurka, G.4
-
14
-
-
84946206172
-
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
-
1, 2, 5, 6, 7
-
A. Nguyen, J. Yosinski, and J. Clune. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. IEEE, 2015.
-
(2015)
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference On. IEEE
-
-
Nguyen, A.1
Yosinski, J.2
Clune, J.3
-
16
-
-
84904662812
-
Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags
-
IEEE, 1
-
V. Ordonez, V. Jagadeesh, W. Di, A. Bhardwaj, and R. Piramuthu. Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags. In Applications of Computer Vision (WACV), 2014 IEEEWinter Conference on, pages 317-324. IEEE, 2014.
-
(2014)
Applications of Computer Vision (WACV), 2014 IEEEWinter Conference on
, pp. 317-324
-
-
Ordonez, V.1
Jagadeesh, V.2
Di, W.3
Bhardwaj, A.4
Piramuthu, R.5
-
17
-
-
84911407562
-
Incremental learning of ncm forests for large scale image classification
-
4, 5
-
M. Ristin, M. Guillaumin, J. Gall, and L. VanGool. Incremental learning of ncm forests for large scale image classification. CVPR, 2014.
-
(2014)
CVPR
-
-
Ristin, M.1
Guillaumin, M.2
Gall, J.3
VanGool, L.4
-
18
-
-
85009847029
-
Known and unknown: A memoir
-
1
-
D. Rumsfeld. Known and unknown: A memoir. Penguin, 2011.
-
(2011)
Penguin
-
-
Rumsfeld, D.1
-
19
-
-
84947041871
-
Image net large scale visual recognition challenge
-
April.
-
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. International Journal of Computer Vision (IJCV), pages 1-42, April 2015.
-
(2015)
International Journal of Computer Vision (IJCV)
, pp. 1-42
-
-
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
-
20
-
-
84878136486
-
Toward open set recognition
-
1, 2, 3, 7, 8
-
W. J. Scheirer, A. de Rezende Rocha, A. Sapkota, and T. E. Boult. Toward open set recognition. IEEE TPAMI, 35 (7): 1757-1772, 2013.
-
(2013)
IEEE TPAMI
, vol.35
, Issue.7
, pp. 1757-1772
-
-
Scheirer, W.J.1
Rocha Rezende De, A.2
Sapkota, A.3
Boult, T.E.4
-
21
-
-
84906495357
-
Probability models for open set recognition
-
1, 3, 6, 7
-
W. J. Scheirer, L. P. Jain, and T. E. Boult. Probability models for open set recognition. IEEE TPAMI, 36 (11): 2317-2324, 2014.
-
(2014)
IEEE TPAMI
, vol.36
, Issue.11
, pp. 2317-2324
-
-
Scheirer, W.J.1
Jain, L.P.2
Boult, T.E.3
-
22
-
-
79959493881
-
Meta-recognition: The theory and practice of recognition score analysis
-
libMR code.
-
W. J. Scheirer, A. Rocha, R. J. Micheals, and T. E. Boult. Meta-recognition: The theory and practice of recognition score analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33 (8): 1689-1695, 2011. libMR code at http: //metarecognition. com.
-
(2011)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.33
, Issue.8
, pp. 1689-1695
-
-
Scheirer, W.J.1
Rocha, A.2
Micheals, R.J.3
Boult, T.E.4
-
24
-
-
84898938559
-
Zero-shot learning through cross-modal transfer
-
8
-
R. Socher, M. Ganjoo, C. D. Manning, and A. Ng. Zero-shot learning through cross-modal transfer. In Advances in neural information processing systems, pages 935-943, 2013.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 935-943
-
-
Socher, R.1
Ganjoo, M.2
Manning, C.D.3
Ng, A.4
-
26
-
-
84937522268
-
Going deeper with convolutions
-
1
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. IEEE, 2015.
-
(2015)
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference On. IEEE
-
-
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
-
27
-
-
85083953343
-
Intriguing properties of neural networks
-
2, 5
-
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus. Intriguing properties of neural networks. In International Conference on Learning Representations. Computational and Biological Learning Society, 2014.
-
(2014)
International Conference on Learning Representations. Computational and Biological Learning Society
-
-
Szegedy, C.1
Zaremba, W.2
Sutskever, I.3
Bruna, J.4
Erhan, D.5
Goodfellow, I.6
Fergus, R.7
-
28
-
-
84911198048
-
Deepface: Closing the gap to human-level performance in face verification
-
IEEE, 1
-
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. Deepface: Closing the gap to human-level performance in face verification. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 1701-1708. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 1701-1708
-
-
Taigman, Y.1
Yang, M.2
Ranzato, M.3
Wolf, L.4
-
31
-
-
84959091021
-
Understanding neural networks through deep visualization
-
5
-
J. Yosinski, J. Clune, A. Nguyen, T. Fuchs, and H. Lipson. Understanding neural networks through deep visualization. In International Conference on Machine Learning, Workshop on Deep Learning, 2015.
-
(2015)
International Conference on Machine Learning, Workshop on Deep Learning
-
-
Yosinski, J.1
Clune, J.2
Nguyen, A.3
Fuchs, T.4
Lipson, H.5
-
32
-
-
84911436141
-
Predicting failures of vision systems
-
June.
-
P. Zhang, J. Wang, A. Farhadi, M. Hebert, and D. Parikh. Predicting failures of vision systems. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
-
(2014)
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Zhang, P.1
Wang, J.2
Farhadi, A.3
Hebert, M.4
Parikh, D.5
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