-
4
-
-
85058989659
-
Domain adaptive faster r-cnn for object detection in the wild
-
Y. Chen, W. Li, C. Sakaridis, D. Dai, and L. Van Gool. Domain adaptive faster R-CNN for object detection in the wild. In Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
-
(2018)
Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Chen, Y.1
Li, W.2
Sakaridis, C.3
Dai, D.4
Van Gool, L.5
-
10
-
-
85160320112
-
Robustness via retrying: Closed-loop robotic manipulation with self-supervised learning
-
F. Ebert, S. Dasari, A. X. Lee, S. Levine, and C. Finn. Robustness via retrying: Closed-loop robotic manipulation with self-supervised learning. Conference on Robot Learning (CoRL), 2018.
-
(2018)
Conference on Robot Learning (CoRL)
-
-
Ebert, F.1
Dasari, S.2
Lee, A.X.3
Levine, S.4
Finn, C.5
-
13
-
-
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, 2014.
-
(2014)
Advances in Neural Information Processing Systems
-
-
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
-
15
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
K. He, X. Zhang, S. Ren, and J. Sun. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In International conference on computer vision (ICCV), pages 1026-1034, 2015.
-
(2015)
International Conference on Computer Vision (ICCV)
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
19
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. International Conference on Machine Learning (ICML), 2015.
-
(2015)
International Conference on Machine Learning (ICML)
-
-
Ioffe, S.1
Szegedy, C.2
-
26
-
-
85073693006
-
-
M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg. Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks. ArXiv preprint arXiv: 1810. 10191, 2018.
-
(2018)
Making Sense of Vision and Touch: Self-supervised Learning of Multimodal Representations for Contact-rich Tasks
-
-
Lee, M.A.1
Zhu, Y.2
Srinivasan, K.3
Shah, P.4
Savarese, S.5
Fei-Fei, L.6
Garg, A.7
Bohg, J.8
-
27
-
-
33646887390
-
On the limited memory bfgs method for large scale optimization
-
D. C. Liu and J. Nocedal. On the limited memory bfgs method for large scale optimization. Mathematical programming, 45 (1-3): 503-528, 1989.
-
(1989)
Mathematical Programming
, vol.45
, Issue.1-3
, pp. 503-528
-
-
Liu, D.C.1
Nocedal, J.2
-
36
-
-
85041908735
-
Learning features by watching objects move
-
D. Pathak, R. B. Girshick, P. Dollár, T. Darrell, and B. Hariharan. Learning features by watching objects move. In Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
-
(2017)
Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Pathak, D.1
Girshick, R.B.2
Dollár, P.3
Darrell, T.4
Hariharan, B.5
-
37
-
-
84986294165
-
Context encoders: Feature learning by inpainting
-
D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, and A. Efros. Context encoders: Feature learning by inpainting. In Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
-
(2016)
Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
Pathak, D.1
Krähenbühl, P.2
Donahue, J.3
Darrell, T.4
Efros, A.5
-
38
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision (IJCV), 115 (3): 211-252, 2015.
-
(2015)
International Journal of Computer Vision (IJCV)
, vol.115
, Issue.3
, pp. 211-252
-
-
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
-
41
-
-
85048744792
-
-
P. Sermanet, C. Lynch, Y. Chebotar, J. Hsu, E. Jang, S. Schaal, and S. Levine. Time-contrastive networks: Self-supervised learning from video. ArXiv preprint arXiv: 1704. 06888, 2017.
-
(2017)
Time-contrastive Networks: Self-supervised Learning from Video
-
-
Sermanet, P.1
Lynch, C.2
Chebotar, Y.3
Hsu, J.4
Jang, E.5
Schaal, S.6
Levine, S.7
-
43
-
-
84937522268
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
-
(2015)
Conference on Computer Vision and Pattern Recognition (CVPR)
-
-
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
-
45
-
-
85043777453
-
Aggregated residual transformations for deep neural networks
-
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He. Aggregated residual transformations for deep neural networks. In Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017.
-
(2017)
Conference on Computer Vision and Pattern Recognition (CVPR). IEEE
-
-
Xie, S.1
Girshick, R.2
Dollár, P.3
Tu, Z.4
He, K.5
|