-
2
-
-
84911417279
-
Multiscale combinatorial grouping
-
P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik. Multiscale combinatorial grouping. In CVPR, 2014.
-
(2014)
CVPR
-
-
Arbelaez, P.1
Pont-Tuset, J.2
Barron, J.3
Marques, F.4
Malik, J.5
-
3
-
-
84885880085
-
Object detection using stronglysupervised deformable part models
-
H. Azizpour and I. Laptev. Object detection using stronglysupervised deformable part models. In ECCV, 2012.
-
(2012)
ECCV
-
-
Azizpour, H.1
Laptev, I.2
-
4
-
-
77956008665
-
Constrained parametric min-cuts for automatic object segmentation
-
J. Carreira and C. Sminchisescu. Constrained parametric min-cuts for automatic object segmentation. In CVPR, 2010.
-
(2010)
CVPR
-
-
Carreira, J.1
Sminchisescu, C.2
-
5
-
-
84911456915
-
Bing: Binarized normed gradients for objectness estimation at 300fps
-
M.-M. Cheng, Z. Zhang, W.-Y. Lin, and P. Torr. Bing: Binarized normed gradients for objectness estimation at 300fps. In CVPR, 2014.
-
(2014)
CVPR
-
-
Cheng, M.-M.1
Zhang, Z.2
Lin, W.-Y.3
Torr, P.4
-
6
-
-
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
-
-
84903622275
-
Fast feature pyramids for object detection
-
P. Dollár, R. Appel, S. Belongie, and P. Perona. Fast feature pyramids for object detection. PAMI, 36 (8): 1532-1545, 2014.
-
(2014)
PAMI
, vol.36
, Issue.8
, pp. 1532-1545
-
-
Dollár, P.1
Appel, R.2
Belongie, S.3
Perona, P.4
-
9
-
-
84921069139
-
The pascal visual object classes challenge: A retrospective
-
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classes challenge: A retrospective. IJCV, pages 98-136, 2015.
-
(2015)
IJCV
, pp. 98-136
-
-
Everingham, M.1
Eslami, S.M.A.2
Van Gool, L.3
Williams, C.K.I.4
Winn, J.5
Zisserman, A.6
-
10
-
-
77955422240
-
Object detection with discriminatively trained partbased models
-
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. PAMI, 32 (9): 1627-1645, 2010.
-
(2010)
PAMI
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.3
Ramanan, D.4
-
11
-
-
84973867067
-
Deepproposal: Hunting objects by cascading deep convolutional layers
-
A. Ghodrati, M. Pedersoli, T. Tuytelaars, A. Diba, and L. V. Gool. Deepproposal: Hunting objects by cascading deep convolutional layers. In ICCV, 2015.
-
(2015)
ICCV
-
-
Ghodrati, A.1
Pedersoli, M.2
Tuytelaars, T.3
Diba, A.4
Gool, L.V.5
-
12
-
-
84973864191
-
Object detection via a multiregion & semantic segmentation-aware cnn model
-
S. Gidaris and N. Komodakis. Object detection via a multiregion & semantic segmentation-aware cnn model. In ICCV, 2015.
-
(2015)
ICCV
-
-
Gidaris, S.1
Komodakis, N.2
-
13
-
-
85029359197
-
Fast r-cnn
-
R. Girshick. Fast r-cnn. In ICCV, 2015.
-
(2015)
ICCV
-
-
Girshick, R.1
-
14
-
-
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
-
15
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In CVPR, 2015.
-
(2015)
CVPR
-
-
Hariharan, B.1
Arbeláez, P.2
Girshick, R.3
Malik, J.4
-
16
-
-
85009918748
-
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
-
18
-
-
84973902476
-
Online object tracking with proposal selection
-
Y. Hua, K. Alahari, and C. Schmid. Online object tracking with proposal selection. In ICCV, 2015.
-
(2015)
ICCV
-
-
Hua, Y.1
Alahari, K.2
Schmid, C.3
-
19
-
-
84898830857
-
Category-independent object-level saliency detection
-
Y. Jia and M. Han. Category-independent object-level saliency detection. In ICCV, 2013.
-
(2013)
ICCV
-
-
Jia, Y.1
Han, M.2
-
20
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM Multimedia, 2014.
-
(2014)
ACM Multimedia
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.B.6
Guadarrama, S.7
Darrell, T.8
-
21
-
-
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
-
22
-
-
84973861966
-
Deepbox: Learning objectness with convolutional networks
-
W. Kuo, B. Hariharan, and J. Malik. Deepbox: Learning objectness with convolutional networks. In ICCV, 2015.
-
(2015)
ICCV
-
-
Kuo, W.1
Hariharan, B.2
Malik, J.3
-
23
-
-
84973863227
-
Learning to combine mid-level cues for object proposal generation
-
T. Lee, S. Fidler, and S. Dickinson. Learning to combine mid-level cues for object proposal generation. In ICCV, 2015.
-
(2015)
ICCV
-
-
Lee, T.1
Fidler, S.2
Dickinson, S.3
-
24
-
-
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
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60 (2): 91-110, 2004.
-
(2004)
IJCV
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
27
-
-
84961917629
-
-
arXiv preprint arXiv: 1506. 02640
-
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. ArXiv preprint arXiv: 1506. 02640, 2015.
-
(2015)
You only Look Once: Unified, Real-time Object Detection
-
-
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
-
-
84961891410
-
-
arXiv preprint arXiv: 1504. 06066
-
S. Ren, K. He, R. Girshick, X. Zhang, and J. Sun. Object detection networks on convolutional feature maps. ArXiv preprint arXiv: 1504. 06066, 2015.
-
(2015)
Object Detection Networks on Convolutional Feature Maps
-
-
Ren, S.1
He, K.2
Girshick, R.3
Zhang, X.4
Sun, J.5
-
30
-
-
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, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. IJCV, pages 1-42, 2015.
-
(2015)
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
-
31
-
-
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
-
32
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
34
-
-
77956000059
-
An HOG-LBP human detector with partial occlusion handling
-
X. Wang, T. X. Han, and S. Yan. An hog-lbp human detector with partial occlusion handling. In CVPR, 2009.
-
(2009)
CVPR
-
-
Wang, X.1
Han, T.X.2
Yan, S.3
-
35
-
-
84978839486
-
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction
-
Y. Zhang, K. Sohn, R. Villegas, G. Pan, and H. Lee. Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. In CVPR, 2014.
-
(2014)
CVPR
-
-
Zhang, Y.1
Sohn, K.2
Villegas, R.3
Pan, G.4
Lee, H.5
-
36
-
-
85009853104
-
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
|