-
2
-
-
72249100259
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
FeiFei, L.6
-
3
-
-
84965143571
-
Deep generative image models using a laplacian pyramid of adversarial networks
-
E. Denton, S. Chintala, A. Szlam, and R. Fergus. Deep generative image models using a laplacian pyramid of adversarial networks. In NIPS, 2015.
-
(2015)
NIPS
-
-
Denton, E.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
4
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010.
-
(2010)
IJCV
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
5
-
-
84973864191
-
Object detection via a multiregion and semantic segmentation-aware cnn model
-
S. Gidaris and N. Komodakis. Object detection via a multiregion and semantic segmentation-aware cnn model. In ICCV, 2015.
-
(2015)
ICCV
-
-
Gidaris, S.1
Komodakis, N.2
-
6
-
-
85029359197
-
Fast r-cnn
-
R. Girshick. Fast r-cnn. In ICCV, 2015.
-
(2015)
ICCV
-
-
Girshick, R.1
-
7
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
8
-
-
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 NIPS, 2014.
-
(2014)
NIPS
-
-
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
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In CVPR, 2016.
-
(2016)
CVPR
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
11
-
-
85030252965
-
Speed/accuracy trade-offs for modern convolutional object detectors
-
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, and K. Murphy. Speed/accuracy trade-offs for modern convolutional object detectors. In CoRR, 2016.
-
(2016)
CoRR
-
-
Huang, J.1
Rathod, V.2
Sun, C.3
Zhu, M.4
Korattikara, A.5
Fathi, A.6
Fischer, I.7
Wojna, Z.8
Song, Y.9
Guadarrama, S.10
Murphy, K.11
-
12
-
-
84980041114
-
Densebox: Unifying landmark localization with end to end object detection
-
L. Huang, Y. Yang, Y. Deng, and Y. Yu. Densebox: Unifying landmark localization with end to end object detection. In CoRR, 2015.
-
(2015)
CoRR
-
-
Huang, L.1
Yang, Y.2
Deng, Y.3
Yu, Y.4
-
13
-
-
85030759098
-
Image-to-image translation with conditional adversarial networks
-
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros. Image-to-image translation with conditional adversarial networks. CVPR, 2017.
-
(2017)
CVPR
-
-
Isola, P.1
Zhu, J.-Y.2
Zhou, T.3
Efros, A.A.4
-
15
-
-
85018938177
-
R-FCN: Object detection via region-based fully convolutional networks
-
K. H. J. S. Jifeng Dai, Yi Li. R-FCN: Object detection via region-based fully convolutional networks. NIPS, 2016.
-
(2016)
NIPS
-
-
Jifeng Dai, K.H.J.S.1
Li, Y.2
-
16
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
17
-
-
85044266314
-
Feature pyramid networks for object detection
-
T. Lin, P. Dollr, R. Girshick, K. He, B. Hariharan, and S. Belongie. Feature pyramid networks for object detection. In CoRR, 2017.
-
(2017)
CoRR
-
-
Lin, T.1
Dollr, P.2
Girshick, R.3
He, K.4
Hariharan, B.5
Belongie, S.6
-
18
-
-
84956640115
-
Microsoft COCO: Common objects in context
-
T. Lin, M. Maire, S. Belongie, L. D. Bourdev, R. B. Girshick, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft COCO: common objects in context. CoRR, abs/1405.0312, 2014.
-
(2014)
CoRR, Abs/1405.0312
-
-
Lin, T.1
Maire, M.2
Belongie, S.3
Bourdev, L.D.4
Girshick, R.B.5
Hays, J.6
Perona, P.7
Ramanan, D.8
Dollár, P.9
Zitnick, C.L.10
-
19
-
-
85011302702
-
Ssd: Single shot multibox detector
-
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg. Ssd: Single shot multibox detector. In ECCV, 2016.
-
(2016)
ECCV
-
-
Liu, W.1
Anguelov, D.2
Erhan, D.3
Szegedy, C.4
Reed, S.5
Fu, C.-Y.6
Berg, A.C.7
-
23
-
-
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 CVPR, 2016.
-
(2016)
CVPR
-
-
Pathak, D.1
Krähenbühl, P.2
Donahue, J.3
Darrell, T.4
Efros, A.5
-
25
-
-
85028023087
-
Supervision via competition: Robot adversaries for learning tasks
-
L. Pinto, J. Davidson, and A. Gupta. Supervision via competition: Robot adversaries for learning tasks. In ICRA, 2017.
-
(2017)
ICRA
-
-
Pinto, L.1
Davidson, J.2
Gupta, A.3
-
26
-
-
84978298377
-
Unsupervised representation learning with deep convolutional generative adversarial networks
-
A. Radford, L. Metz, and S. Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks. CoRR, abs/1511.06434, 2015.
-
(2015)
CoRR, Abs/1511.06434
-
-
Radford, A.1
Metz, L.2
Chintala, S.3
-
27
-
-
84977618390
-
You only look once: Unified, real-time object detection
-
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. In CVPR, 2015.
-
(2015)
CVPR
-
-
Redmon, J.1
Divvala, S.2
Girshick, R.3
Farhadi, A.4
-
28
-
-
84960980241
-
Faster R-CNN: Towards real-time object detection with region proposal networks
-
S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. In NIPS, 2015.
-
(2015)
NIPS
-
-
Ren, S.1
He, K.2
Girshick, R.3
Sun, J.4
-
29
-
-
85044323003
-
Improved techniques for training gans
-
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen. Improved techniques for training gans. CoRR, 2016.
-
(2016)
CoRR
-
-
Salimans, T.1
Goodfellow, I.2
Zaremba, W.3
Cheung, V.4
Radford, A.5
Chen, X.6
-
30
-
-
84906486689
-
Overfeat: Integrated recognition, localization and detection using convolutional networks
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. CoRR, abs/1312.6229, 2013.
-
(2013)
CoRR, Abs/1312.6229
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
32
-
-
85041917650
-
Contextual priming and feedback for faster r-cnn
-
A. Shrivastava and A. Gupta. Contextual priming and feedback for faster r-cnn. In ECCV, 2016.
-
(2016)
ECCV
-
-
Shrivastava, A.1
Gupta, A.2
-
33
-
-
84986317469
-
Training region-based object detectors with online hard example mining
-
A. Shrivastava, A. Gupta, and R. Girshick. Training region-based object detectors with online hard example mining. In CVPR, 2016.
-
(2016)
CVPR
-
-
Shrivastava, A.1
Gupta, A.2
Girshick, R.3
-
34
-
-
85041919970
-
Beyond skip connections: Top-down modulation for object detection
-
A. Shrivastava, R. Sukthankar, J. Malik, and A. Gupta. Beyond skip connections: Top-down modulation for object detection. In CoRR, 2017.
-
(2017)
CoRR
-
-
Shrivastava, A.1
Sukthankar, R.2
Malik, J.3
Gupta, A.4
-
35
-
-
84941247315
-
-
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, and F. Moreno-Noguer. Fracking deep convolutional image descriptors. arXiv preprint arXiv: 1412.6537, 2014.
-
(2014)
Fracking Deep Convolutional Image Descriptors
-
-
Simo-Serra, E.1
Trulls, E.2
Ferraz, L.3
Kokkinos, I.4
Moreno-Noguer, F.5
-
36
-
-
84933585162
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014.
-
(2014)
CoRR, Abs/1409.1556
-
-
Simonyan, K.1
Zisserman, A.2
-
37
-
-
85007163590
-
Unsupervised and semi-supervised learning with categorical generative adversarial networks
-
J. T. Springenberg. Unsupervised and semi-supervised learning with categorical generative adversarial networks. In CoRR, 2015.
-
(2015)
CoRR
-
-
Springenberg, J.T.1
-
38
-
-
84983383396
-
Inception-v4, inception-resnet and the impact of residual connections on learning
-
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. Alemi. Inception-v4, inception-resnet and the impact of residual connections on learning. In CoRR, 2016.
-
(2016)
CoRR
-
-
Szegedy, C.1
Ioffe, S.2
Vanhoucke, V.3
Alemi, A.4
-
41
-
-
84973889989
-
Unsupervised learning of visual representations using videos
-
X. Wang and A. Gupta. Unsupervised learning of visual representations using videos. In ICCV, 2015.
-
(2015)
ICCV
-
-
Wang, X.1
Gupta, A.2
-
42
-
-
0000337576
-
Simple statistical gradient-following algorithms for connectionist reinforcement learning
-
R. J. Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. In Machine learning, 1992.
-
(1992)
Machine Learning
-
-
Williams, R.J.1
-
43
-
-
85027970290
-
-
S. Xie, R. Girshick, P. Dollr, Z. Tu, and K. He. Aggregated residual transformations for deep neural networks. arXiv preprint arXiv: 1611.05431, 2016.
-
(2016)
Aggregated Residual Transformations for Deep Neural Networks
-
-
Xie, S.1
Girshick, R.2
Dollr, P.3
Tu, Z.4
He, K.5
-
44
-
-
84990062696
-
A multipath network for object detection
-
S. Zagoruyko, A. Lerer, T.-Y. Lin, P. O. Pinheiro, S. Gross, S. Chintala, and P. Dollár. A multipath network for object detection. In BMVC, 2016.
-
(2016)
BMVC
-
-
Zagoruyko, S.1
Lerer, A.2
Lin, T.-Y.3
Pinheiro, P.O.4
Gross, S.5
Chintala, S.6
Dollár, P.7
-
45
-
-
85032192396
-
Gated bi-directional cnn for object detection
-
X. Zeng, W. Ouyang, B. Yang, J. Yan, and X. Wang. Gated bi-directional cnn for object detection. ECCV, 2016.
-
(2016)
ECCV
-
-
Zeng, X.1
Ouyang, W.2
Yang, B.3
Yan, J.4
Wang, X.5
|