Fetching the paper…
Reading the bibliography…
The way that information propagates in neural networks is of great importance.
The pascal visual object classes (VOC) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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.
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.
Multiscale combinatorial grouping
P. Arbeláez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik · 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
Earlier work this paper cites.
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 · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Earlier work this paper cites.
Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
Earlier work this paper cites.
Convolutional feature masking for joint object and stuff segmentation
J. Dai, K. He, and J. Sun · 2015
Earlier work this paper cites.
Object detection via a multi-region and semantic segmentation-aware CNN model
S. Gidaris and N. Komodakis · 2015
Earlier work this paper cites.
Fast R-CNN
R. Girshick · 2015
Earlier work this paper cites.
Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Earlier work this paper cites.
Box aggregation for proposal decimation: Last mile of object detection
S. Liu, C. Lu, and J. Jia · 2015
Earlier work this paper cites.
Parsenet: Looking wider to see better
W. Liu, A. Rabinovich, and A. C. Berg · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
Earlier work this paper cites.
Learning to segment object candidates
P. H. O. Pinheiro, R. Collobert, and P. Dollár · 2015
Earlier work this paper cites.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
U-Net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Monocular object instance segmentation and depth ordering with CNNs
Z. Zhang, A. G. Schwing, S. Fidler, and R. Urtasun · 2015
Cited alongside, same era.
Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks
S. Bell, C. L. Zitnick, K. Bala, and R. B. Girshick · 2016
Cited alongside, same era.
A unified multi-scale deep convolutional neural network for fast object detection
Z. Cai, Q. Fan, R. S. Feris, and N. Vasconcelos · 2016
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
Instance-sensitive fully convolutional networks
Deep watershed transform for instance segmentation
M. Bai and R. Urtasun · 2017
Later among the works it cites.
Y. Chen, J. Li, H. Xiao, X. Jin, S. Yan, and J. Feng · 2017
Later among the works it cites.
Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
Later among the works it cites.
DSSD : Deconvolutional single shot detector
C. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg · 2017
Later among the works it cites.
Boundary-aware instance segmentation
Z. Hayder, X. He, and M. Salzmann · 2017
Later among the works it cites.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Dai, K. He, Y. Li, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 2016
Cited alongside, same era.
Laplacian reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Hypernet: Towards accurate region proposal generation and joint object detection
T. Kong, A. Yao, Y. Chen, and F. Sun · 2016
Cited alongside, same era.
Reversible recursive instance-level object segmentation
X. Liang, Y. Wei, X. Shen, Z. Jie, J. Feng, L. Lin, and S. Yan · 2016
Cited alongside, same era.
Later among the works it cites.
Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
Later among the works it cites.
Densely connected convolutional networks
G. Huang, Z. Liu, and K. Q. Weinberger · 2017
Later among the works it cites.
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 · 2017
Later among the works it cites.
Instancecut: From edges to instances with multicut
A. Kirillov, E. Levinkov, B. Andres, B. Savchynskyy, and C. Rother · 2017
Later among the works it cites.
Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
Later among the works it cites.
Feature pyramid networks for object detection
T. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
Later among the works it cites.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar · 2017
Later among the works it cites.
SGN: Sequential grouping networks for instance segmentation
S. Liu, J. Jia, S. Fidler, and R. Urtasun · 2017
Later among the works it cites.
LSUN’17: insatnce segmentation task, UCenter winner team
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2017
Later among the works it cites.
The mapillary vistas dataset for semantic understanding of street scenes
G. Neuhold, T. Ollmann, S. Rota Bulo, and P. Kontschieder · 2017
Later among the works it cites.
Large kernel matters - improve semantic segmentation by global convolutional network
C. Peng, X. Zhang, G. Yu, G. Luo, and J. Sun · 2017
Later among the works it cites.
End-to-end instance segmentation with recurrent attention
M. Ren and R. S. Zemel · 2017
Later among the works it cites.
Object detection networks on convolutional feature maps
S. Ren, K. He, R. B. Girshick, X. Zhang, and J. Sun · 2017
Later among the works it cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi · 2017
Later among the works it cites.
Aggregated residual transformations for deep neural networks
S. Xie, R. B. Girshick, P. Dollár, Z. Tu, and K. He · 2017
Later among the works it cites.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Later among the works it cites.