Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network
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[1] Gilles Bertrand,et al. Watershed Cuts: Thinnings, Shortest Path Forests, and Topological Watersheds , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Roberto Cipolla,et al. MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving , 2016, 2018 IEEE Intelligent Vehicles Symposium (IV).
[3] ODHAD HLOUBKY,et al. DEPTH ESTIMATION BY CONVOLUTIONAL NEURAL NETWORKS , 2016 .
[4] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] David Ball,et al. Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture , 2017, IEEE Robotics & Automation Magazine.
[7] Mohan M. Trivedi,et al. Deep Learning for Assistive Computer Vision , 2018, ECCV Workshops.
[8] Bastian Leibe,et al. Superpixels: An evaluation of the state-of-the-art , 2016, Comput. Vis. Image Underst..
[9] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[10] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[12] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[13] Roberto Cipolla,et al. Semantic object classes in video: A high-definition ground truth database , 2009, Pattern Recognit. Lett..
[14] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Guirong Weng,et al. Active contours driven by local pre-fitting energy for fast image segmentation , 2018, Pattern Recognit. Lett..
[16] Alan L. Yuille,et al. Towards unified depth and semantic prediction from a single image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Aref Meddeb,et al. Driver information system: a combination of augmented reality and deep learning , 2017, SAC.
[19] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Marcin Ciecholewski,et al. An edge-based active contour model using an inflation/deflation force with a damping coefficient , 2016, Expert Syst. Appl..
[21] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Jonathan T. Barron,et al. A category-level 3-D object dataset: Putting the Kinect to work , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[23] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Roberto Cipolla,et al. Semantic texton forests for image categorization and segmentation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Charless C. Fowlkes,et al. Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation , 2016, ECCV.
[27] Jianxiong Xiao,et al. SUN RGB-D: A RGB-D scene understanding benchmark suite , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Jana Kosecka,et al. Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[29] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[30] Montse Pardàs,et al. Hybridnet for Depth Estimation and Semantic Segmentation , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[31] Thomas Brox,et al. Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling , 2016, GCPR.
[32] Andrew Owens,et al. SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels , 2013, 2013 IEEE International Conference on Computer Vision.
[33] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[34] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[35] K. Madhava Krishna,et al. DeepFly: towards complete autonomous navigation of MAVs with monocular camera , 2016, ICVGIP '16.
[36] Kun Li,et al. Graph-Based Segmentation for RGB-D Data Using 3-D Geometry Enhanced Superpixels , 2015, IEEE Transactions on Cybernetics.
[37] Luisa Verdoliva,et al. Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[38] George Papandreou,et al. Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation , 2015, ArXiv.