Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras

Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle, “Greedy layer-wise training of deep networks,” in Advances in Neural Information Processing Systems (NIPS)

2007

Earlier work this paper cites.

P. Krähenbühl and V. Koltun, “Efficient inference in fully connected CRFs with Gaussian edge potentials,” in Advances in Neural Information Processing Systems (NIPS)

2011

Earlier work this paper cites.

P. K. Nathan Silberman, Derek Hoiem and R. Fergus, “Indoor segmentation and support inference from RGBD images,” in Europ. Conf. on Computer Vision (ECCV)

2012

Earlier work this paper cites.

L. Bottou, “Stochastic gradient descent tricks,” in Neural Networks: Tricks of the Trade

2012

Earlier work this paper cites.

R. F. Salas-Moreno, R. A. Newcombe, H. Strasdat, P. H. Kelly, and A. J. Davison, “SLAM++: Simultaneous localisation and mapping at the level of objects,” IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR)

2013

Earlier work this paper cites.

C. Kerl, J. Sturm, and D. Cremers, “Dense visual SLAM for RGB-D cameras,” in IEEE/RSJ Intelligent Robots and Systems (IROS)

2013

Earlier work this paper cites.

S. Gupta, P. Arbelaez, and J. Malik, “Perceptual organization and recognition of indoor scenes from RGB-D images,” in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

2013

Earlier work this paper cites.

S. Gupta, R. Girshick, P. Arbeláez, and J. Malik, “Learning rich features from RGB-D images for object detection and segmentation,” in Europ. Conf. on Computer Vision (ECCV)

2014

Earlier work this paper cites.

R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in IEEE Computer Vision and Pattern Recognition (CVPR)

2014

Earlier work this paper cites.

A. Hermans, G. Floros, and B. Leibe, “Dense 3D semantic mapping of indoor scenes from rgb-d images,” in IEEE Int. Conf. on Robotics and Automation (ICRA)

2014

Earlier work this paper cites.

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” arXiv preprint arXiv:1408.5093

Original

2014

Earlier work this paper cites.

K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” CoRR

Original

2014

Earlier work this paper cites.

J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR)

2015

Cited alongside, same era.

H. Noh, S. Hong, and B. Han, “Learning deconvolution network for semantic segmentation,” in IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR)

2015

Cited alongside, same era.

D. Eigen and R. Fergus, “Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,” in IEEE Int. Conf. on Computer Vision (ICCV)

2015

Cited alongside, same era.

J. Stückler, B. Waldvogel, H. Schulz, and S. Behnke, “Dense real-time mapping of object-class semantics from RGB-D video,” J. of Real-Time Image Processing

2015

Cited alongside, same era.

H. Su, S. Maji, E. Kalogerakis, and E. G. Learned-Miller, “Multi-view convolutional neural networks for 3d shape recognition,” in IEEE Int. Conf. on Computer Vision (ICCV)

Z. Wu, C. Shen, and A. van den Hengel, “Wider or deeper: Revisiting the resnet model for visual recognition,” CoRR abs/1611.10080

Original

2016

Later among the works it cites.

Z. Li, Y. Gan, X. Liang, Y. Yu, H. Cheng, and L. Lin, “LSTM-CF: Unifying context modeling and fusion with LSTMs for RGB-D scene labeling,” in Europ. Conf. on Computer Vision (ECCV)

2016

Later among the works it cites.

G. Lin, C. Shen, A. van den Hengel, and I. D. Reid, “Exploring context with deep structured models for semantic segmentation,” CoRR

Original

2016

Later among the works it cites.

I. Armeni, O. Sener, A. R. Zamir, H. Jiang, I. Brilakis, M. Fischer, and S. Savarese, “3D semantic parsing of large-scale indoor spaces,” in IEEE Computer Vision and Pattern Recognition (CVPR)

2016

Later among the works it cites.