Fetching the paper…
Reading the bibliography…
Instance-level object segmentation is an important yet under-explored task.
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 · 1989
Earlier work this paper cites.
On spectral clustering: Analysis and an algorithm
A. Y. Ng, M. I. Jordan, Y. Weiss, et al · 2002
Earlier work this paper cites.
Semantic contours from inverse detectors
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Layered object models for image segmentation
Y. Yang, S. Hallman, D. Ramanan, and C. C. Fowlkes · 2012
Earlier work this paper cites.
Selective search for object recognition
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders · 2013
Earlier work this paper cites.
Semantic image segmentation with deep convolutional nets and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
Earlier work this paper cites.
Scalable object detection using deep neural networks
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov · 2014
Earlier work this paper cites.
The pascal visual object classes challenge: A retrospective
M. Everingham, S. A. Eslami, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2014
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Simultaneous detection and segmentation
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2014
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
X. Liang, S. Liu, Y. Wei, L. Liu, L. Lin, and S. Yan · 2014
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2014
Cited alongside, same era.
Instance segmentation of indoor scenes using a coverage loss
N. Silberman, D. Sontag, and R. Fergus · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Efficient piecewise training of deep structured models for semantic segmentation
G. Lin, C. Shen, I. D. Rei, and A. van den Hengel · 2015
Closest in time.
Multi-instance object segmentation with occlusion handling
Y.-T. C. X. Liu and M.-H. Yang · 2015
Closest in time.
Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
Closest in time.
Weakly- and semi-supervised learning of a dcnn for semantic image segmentation
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille · 2015
Closest in time.
Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollar · 2015
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
Cited alongside, same era.
Scene parsing with object instances and occlusion ordering
J. Tighe, M. Niethammer, and S. Lazebnik · 2014
Cited alongside, same era.
Cnn: Single-label to multi-label
Y. Wei, W. Xia, J. Huang, B. Ni, J. Dong, Y. Zhao, and S. Yan · 2014
Cited alongside, same era.
Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
Cited alongside, same era.
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
Cited alongside, same era.
Object detection via a multi-region & semantic segmentation-aware cnn model
S. Gidaris and N. Komodakis · 2015
Cited alongside, same era.
R. Girshick · 2015
Cited alongside, same era.
Closest in time.
Multiscale combinatorial grouping for image segmentation and object proposal generation
J. Pont-Tuset, P. Arbeláez, J. Barron, F. Marques, and J. Malik · 2015
Closest in time.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2015
Closest in time.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Closest in time.
Object detection networks on convolutional feature maps
S. Ren, K. He, R. Girshick, X. Zhang, and J. Sun · 2015
Closest in time.
End-to-end people detection in crowded scenes
R. Stewart and M. Andriluka · 2015
Closest in time.
Monocular object instance segmentation and depth ordering with cnns
Z. Zhang, A. G. Schwing, S. Fidler, and R. Urtasun · 2015
Closest in time.
Conditional random fields as recurrent neural networks
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. Torr · 2015
Closest in time.