-
3
-
-
85018918773
-
Learning feed-forward one-shot learners
-
L. Bertinetto, J. F. Henriques, J. Valmadre, P. Torr, and A. Vedaldi. Learning feed-forward one-shot learners. In Advances in Neural Information Processing Systems, pages 523-531, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 523-531
-
-
Bertinetto, L.1
Henriques, J.F.2
Valmadre, J.3
Torr, P.4
Vedaldi, A.5
-
4
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
June
-
J. Deng, W. Dong, R. Socher, L. J. Li, K. Li, and L. Fei- Fei. Imagenet: A large-scale hierarchical image database. In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 248-255, June 2009.
-
(2009)
2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.J.4
Li, K.5
Fei-Fei, L.6
-
5
-
-
84965143571
-
Deep generative image models using a laplacian pyramid of adversarial networks
-
E. L. Denton, S. Chintala, a. szlam, and R. Fergus. Deep generative image models using a laplacian pyramid of adversarial networks. In Advances in neural information processing systems, pages 1486-1494, 2015.
-
(2015)
Advances in Neural Information Processing Systems
, pp. 1486-1494
-
-
Denton, E.L.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
7
-
-
84937849144
-
Generative adversarial nets
-
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative adversarial nets. In Advances in neural information processing systems, pages 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
9
-
-
84990032654
-
MS-Celeb-1M: A dataset and benchmark for large scale face recognition
-
Springer
-
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao. MS-Celeb-1M: A dataset and benchmark for large scale face recognition. In European Conference on Computer Vision. Springer, 2016.
-
(2016)
European Conference on Computer Vision
-
-
Guo, Y.1
Zhang, L.2
Hu, Y.3
He, X.4
Gao, J.5
-
11
-
-
84986274465
-
Deep residual learning for image recognition
-
June
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770- 778, June 2016.
-
(2016)
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
15
-
-
85046251691
-
-
A. B. L. Larsen, S. K. Sønderby, H. Larochelle, and O. Winther. Autoencoding beyond pixels using a learned similarity metric. arXiv preprint arXiv:1512.09300, 2015. 3, 4
-
Autoencoding beyond Pixels Using A Learned Similarity Metric
, Issue.3
, pp. 4
-
-
Larsen, A.B.L.1
Sønderby, S.K.2
Larochelle, H.3
Winther, O.4
-
16
-
-
84973917446
-
Deep learning face attributes in the wild
-
Dec
-
Z. Liu, P. Luo, X. Wang, and X. Tang. Deep learning face attributes in the wild. In 2015 IEEE International Conference on Computer Vision (ICCV), pages 3730-3738, Dec 2015.
-
(2015)
2015 IEEE International Conference on Computer Vision (ICCV)
, pp. 3730-3738
-
-
Liu, Z.1
Luo, P.2
Wang, X.3
Tang, X.4
-
17
-
-
84959241502
-
Ontological supervision for fine grained classification of street view storefronts
-
June
-
Y. Movshovitz-Attias, Q. Yu, M. C. Stumpe, V. Shet, S. Arnoud, and L. Yatziv. Ontological supervision for fine grained classification of street view storefronts. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1693-1702, June 2015.
-
(2015)
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 1693-1702
-
-
Movshovitz-Attias, Y.1
Yu, Q.2
Stumpe, M.C.3
Shet, V.4
Arnoud, S.5
Yatziv, L.6
-
23
-
-
85018863845
-
Matching networks for one shot learning
-
O. Vinyals, C. Blundell, T. Lillicrap, D. Wierstra, et al. Matching networks for one shot learning. In Advances in Neural Information Processing Systems, pages 3630-3638, 2016.
-
(2016)
Advances in Neural Information Processing Systems
, pp. 3630-3638
-
-
Vinyals, O.1
Blundell, C.2
Lillicrap, T.3
Wierstra, D.4
-
24
-
-
85018929847
-
Learning to learn: Model regression networks for easy small sample learning
-
October
-
Y. Wang and M. Hebert. Learning to learn: Model regression networks for easy small sample learning. In European Conference on Computer Vision (ECCV), October 2016.
-
(2016)
European Conference on Computer Vision (ECCV)
-
-
Wang, Y.1
Hebert, M.2
-
25
-
-
84924598740
-
-
X. Zhu, C. Vondrick, C. C. Fowlkes, and D. Ramanan. Do we need more training data? International Journal of Computer Vision, 119(1):76-92, 2016.
-
(2016)
Do We Need More Training Data? International Journal of Computer Vision
, vol.119
, pp. 176-192
-
-
Zhu, X.1
Vondrick, C.2
Fowlkes, C.C.3
Ramanan, D.4
|