Segnet: A deep convolutional encoder-decoder architecture for image segmentation, IEEE Transactions on Pattern Analysis & Machine Intelligence, issue.12, pp.2481-2495, 2017. ,
Semantic object classes in video: A high-definition ground truth database, Pattern Recognition Letters, 2008. ,
Segmentation and recognition using structure from motion point clouds, ECCV (1), pp.44-57, 2008. ,
, Semantic image segmentation with deep convolutional nets and fully connected crfs, 2014.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs, vol.40, pp.834-848, 2018. ,
Encoder-decoder with atrous separable convolution for semantic image segmentation, 2018. ,
The cityscapes dataset for semantic urban scene understanding, Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
Multimodal deep learning for robust rgb-d object recognition, Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, pp.681-687, 2015. ,
A review on deep learning techniques applied to semantic segmentation, 2017. ,
Vision meets robotics: The kitti dataset, International Journal of Robotics Research, 2013. ,
Water-surface object detection and classification using imaging polarimetry, Polarization Science and Remote Sensing II, vol.5888, p.588815, 2005. ,
Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture, Asian Conference on Computer Vision, pp.213-228, 2016. ,
Multispectral pedestrian detection: Benchmark dataset and baseline, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1037-1045, 2015. ,
DOI : 10.1109/cvpr.2015.7298706
Sparse and dense data with cnns: Depth completion and semantic segmentation, 2018. ,
DOI : 10.1109/3dv.2018.00017
URL : https://hal.archives-ouvertes.fr/hal-01858241
Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012. ,
DOI : 10.1145/3065386
URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf
Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene labeling, European Conference on Computer Vision, pp.541-557, 2016. ,
Fully convolutional networks for semantic segmentation, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.3431-3440, 2015. ,
Multi-view deep learning for consistent semantic mapping with rgb-d cameras, Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, pp.598-605, 2017. ,
Foundations of Machine Learning, 2012. ,
Automatic homographic registration of a pair of images, with a contrario elimination of outliers, Image Processing On Line, vol.2, pp.56-73, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00711852
U-net: Convolutional networks for biomedical image segmentation, International Conference on Medical image computing and computer-assisted intervention, pp.234-241, 2015. ,
Convoluted mixture of deep experts for robust semantic segmentation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, State Estimation and Terrain Perception for All Terrain Mobile Robots, 2016. ,
Deep multispectral semantic scene understanding of forested environments using multimodal fusion, The 2016 International Symposium on Experimental Robotics, 2016. ,
Statistical learning theory, 1998. ,
Polarization imagery, Optical Polarimetry: Instrumentation and Applications, vol.112, pp.164-168, 1977. ,
DOI : 10.1117/12.7972655
Polarization vision: a new sensory approach to image understanding, Image and Vision computing, vol.15, issue.2, pp.81-93, 1997. ,
, Multi-scale context aggregation by dilated convolutions, 2015.