V. Badrinarayanan, A. Handa, and R. Cipolla, Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling, 2015.

K. Berger, R. Voorhies, and L. H. Matthies, Depth from stereo polarization in specular scenes for urban robotics, Robotics and Automation (ICRA, p.2017, 2017.

, IEEE International Conference on, pp.1966-1973

L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, Y. et al., Semantic image segmentation with deep convolutional nets and fully connected crfs, ICLR, 2015.

L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, Y. et al., Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs, 2016.

L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, Y. et al., Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs, vol.40, pp.834-848, 2018.

C. Couprie, C. Farabet, L. Najman, and Y. Lecun, Indoor semantic segmentation using depth information, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00805105

S. Gupta, R. Girshick, P. Arbeláez, M. , and J. , Learning rich features from rgb-d images for object detection and segmentation, European Conference on Computer Vision, pp.345-360, 2014.

P. Isola, J. Zhu, T. Zhou, and A. A. Efros, Image-to-image translation with conditional adversarial networks, 2017.

D. P. Kingma and J. Ba, Adam: A method for stochastic optimization, 2014.

J. Long, E. Shelhamer, D. , and T. , Fully convolutional networks for semantic segmentation, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.3431-3440, 2015.

J. Millerd, N. Brock, J. Hayes, M. North-morris, B. Kimbrough et al., Pixelated phasemask dynamic interferometers, pp.640-647, 2005.

O. Morel, F. Meriaudeau, C. Stolz, and P. Gorria, Polarization imaging applied to 3d reconstruction of specular metallic surfaces, Machine Vision Applications in Industrial Inspection XIII, vol.5679, pp.178-187, 2005.

C. V. Nguyen, M. Milford, and R. Mahony, 3d tracking of water hazards with polarized stereo cameras, Robotics and Automation (ICRA, p.2017, 2017.

, IEEE International Conference on, pp.5251-5257

G. P. Nordin, J. T. Meier, P. C. Deguzman, and M. W. Jones, Diffractive optical element for stokes vector measurement with a focal plane array, Polarization: Measurement, Analysis, and Remote Sensing II, vol.3754, pp.169-178, 1999.

G. P. Nordin, J. T. Meier, P. C. Deguzman, and M. W. Jones, Micropolarizer array for infrared imaging polarimetry, JOSA A, vol.16, issue.5, pp.1168-1174, 1999.

G. L. Oliveira, W. Burgard, and T. Brox, Efficient deep models for monocular road segmentation, Intelligent Robots and Systems (IROS), 2016.

, IEEE/RSJ International Conference on, pp.4885-4891

S. J. Pan and Q. Yang, A survey on transfer learning, IEEE Transactions on knowledge and data engineering, vol.22, issue.10, pp.1345-1359, 2010.

C. R. Qi, H. Su, K. Mo, and L. J. Guibas, Pointnet: Deep learning on point sets for 3d classification and segmentation, Proc. Computer Vision and Pattern Recognition (CVPR), vol.1, p.4, 2017.

S. Rahmann and N. Canterakis, Reconstruction of specular surfaces using polarization imaging, p.149, 2001.

A. Rankin and L. Matthies, Daytime water detection based on color variation, Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on, pp.215-221, 2010.

A. L. Rankin and L. H. Matthies, Passive sensor evaluation for unmanned ground vehicle mud detection, Journal of Field Robotics, vol.27, issue.4, pp.473-490, 2010.

B. M. Ratliff, C. F. Lacasse, and J. S. Tyo, Interpolation strategies for reducing ifov artifacts in microgrid polarimeter imagery, Optics express, vol.17, issue.11, pp.9112-9125, 2009.

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, 2014.

L. Torrey and J. Shavlik, Transfer learning, Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques, pp.242-264, 2010.

T. Wang, M. Liu, J. Zhu, A. Tao, J. Kautz et al., High-resolution image synthesis and semantic manipulation with conditional gans, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol.1, p.5, 2018.

L. B. Wolff and A. G. Andreou, Polarization camera sensors, Image and Vision Computing, vol.13, issue.6, pp.497-510, 1995.

S. H. Yan, Water body detection using two camera polarized stereo vision, International Journal of Research in Computer Engineering & Electronics, vol.3, issue.3, 2014.