-
1
-
-
84986259967
-
Insideoutside net: Detecting objects in context with skip pooling and recurrent neural networks
-
S. Bell, C. L. Zitnick, K. Bala, and R. Girshick. Insideoutside net: Detecting objects in context with skip pooling and recurrent neural networks. In CVPR, 2016.
-
(2016)
CVPR
-
-
Bell, S.1
Zitnick, C.L.2
Bala, K.3
Girshick, R.4
-
2
-
-
85041911057
-
Loss maxpooling for semantic image segmentation
-
S. R. Bulo, G. Neuhold, and P. Kontschieder. Loss maxpooling for semantic image segmentation. In CVPR, 2017.
-
(2017)
CVPR
-
-
Bulo, S.R.1
Neuhold, G.2
Kontschieder, P.3
-
3
-
-
85018938177
-
R-FCN: Object detection via region-based fully convolutional networks
-
J. Dai, Y. Li, K. He, and J. Sun. R-FCN: Object detection via region-based fully convolutional networks. In NIPS, 2016.
-
(2016)
NIPS
-
-
Dai, J.1
Li, Y.2
He, K.3
Sun, J.4
-
4
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
7
-
-
77951298115
-
The PASCAL visual object classes (VOC) challenge
-
M. Everingham, L. Van Gool, C. K. 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.3
Winn, J.4
Zisserman, A.5
-
9
-
-
85040590150
-
-
arXiv:1701. 06659
-
C.-Y. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg. DSSD: Deconvolutional single shot detector. arXiv:1701. 06659, 2016.
-
(2016)
DSSD: Deconvolutional Single Shot Detector
-
-
Fu, C.-Y.1
Liu, W.2
Ranga, A.3
Tyagi, A.4
Berg, A.C.5
-
10
-
-
85029359197
-
Fast R-CNN
-
R. Girshick. Fast R-CNN. In ICCV, 2015.
-
(2015)
ICCV
-
-
Girshick, R.1
-
11
-
-
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
-
14
-
-
84928278589
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV. 2014.
-
(2014)
ECCV.
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
15
-
-
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
-
16
-
-
85041902508
-
-
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. 2017.
-
(2017)
Speed/accuracy Trade-offs for Modern Convolutional Object Detectors
-
-
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
-
17
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.3
-
18
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1989.
-
(1989)
Neural Computation
-
-
LeCun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
19
-
-
85041898381
-
Feature pyramid networks for object detection
-
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie. Feature pyramid networks for object detection. In CVPR, 2017.
-
(2017)
CVPR
-
-
Lin, T.-Y.1
Dollár, P.2
Girshick, R.3
He, K.4
Hariharan, B.5
Belongie, S.6
-
20
-
-
84937834115
-
Microsoft COCO: Common objects in context
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft COCO: Common objects in context. In ECCV, 2014.
-
(2014)
ECCV
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C.L.8
-
21
-
-
85011302702
-
SSD: Single shot multibox detector
-
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed. 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
-
22
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmentation. In CVPR, 2015.
-
(2015)
CVPR
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
25
-
-
84986308404
-
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, 2016.
-
(2016)
CVPR
-
-
Redmon, J.1
Divvala, S.2
Girshick, R.3
Farhadi, A.4
-
26
-
-
85041900441
-
YOLO9000: Better, faster, stronger
-
J. Redmon and A. Farhadi. YOLO9000: Better, faster, stronger. In CVPR, 2017.
-
(2017)
CVPR
-
-
Redmon, J.1
Farhadi, A.2
-
27
-
-
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
-
-
85083951635
-
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. In ICLR, 2014.
-
(2014)
ICLR
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
30
-
-
84986317469
-
Training regionbased object detectors with online hard example mining
-
A. Shrivastava, A. Gupta, and R. Girshick. Training regionbased object detectors with online hard example mining. In CVPR, 2016.
-
(2016)
CVPR
-
-
Shrivastava, A.1
Gupta, A.2
Girshick, R.3
-
32
-
-
84986303215
-
Learning and example selection for object and pattern detection
-
K.-K. Sung and T. Poggio. Learning and Example Selection for Object and Pattern Detection. In MIT A. I. Memo No. 1521, 1994.
-
(1994)
Mit A. I. Memo No. 1521
-
-
Sung, K.-K.1
Poggio, T.2
-
35
-
-
0028481440
-
Original approach for the localisation of objects in images
-
R. Vaillant, C. Monrocq, and Y. LeCun. Original approach for the localisation of objects in images. IEE Proc. on Vision, Image, and Signal Processing, 1994.
-
(1994)
IEE Proc. on Vision, Image, and Signal Processing
-
-
Vaillant, R.1
Monrocq, C.2
LeCun, Y.3
-
36
-
-
0035680116
-
Rapid object detection using a boosted cascade of simple features
-
P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001.
-
(2001)
CVPR
-
-
Viola, P.1
Jones, M.2
-
37
-
-
84952018709
-
Edge boxes: Locating object proposals from edges
-
C. L. Zitnick and P. Dollár. Edge boxes: Locating object proposals from edges. In ECCV, 2014.
-
(2014)
ECCV
-
-
Zitnick, C.L.1
Dollár, P.2
|