Reverse and Boundary Attention Network for Road Segmentation
暂无分享,去创建一个
Jee-Young Sun | Sang-Won Lee | Seung-Wook Kim | Sung-Jea Ko | Ye-Won Kim | S. Ko | Ye-Won Kim | Seung-Wook Kim | Sang-Won Lee | Jee-Young Sun
[1] Vincent Frémont,et al. Vision-Based Road Detection using Contextual Blocks , 2015, ArXiv.
[2] Roberto Cipolla,et al. MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving , 2016, 2018 IEEE Intelligent Vehicles Symposium (IV).
[3] Luciano da Fontoura Costa,et al. 2D Euclidean distance transform algorithms: A comparative survey , 2008, CSUR.
[4] Philip H. S. Torr,et al. Combining Appearance and Structure from Motion Features for Road Scene Understanding , 2009, BMVC.
[5] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[6] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[7] Xiang Bai,et al. DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images , 2016, IEEE Transactions on Image Processing.
[8] L. Davis,et al. Real-time multiple vehicle detection and tracking from a moving vehicle , 2000, Machine Vision and Applications.
[9] Josef Pauli,et al. Superpixel-based Road Segmentation for Real-time Systems using CNN , 2018, VISIGRAPP.
[10] Zhe Chen,et al. RBNet: A Deep Neural Network for Unified Road and Road Boundary Detection , 2017, ICONIP.
[11] Ignacio Parra,et al. Deep fully convolutional networks with random data augmentation for enhanced generalization in road detection , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[12] Stefano Messelodi,et al. Switching Models for Vision-based On-Board Road Detection , 2005 .
[13] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[14] Bingbing Ni,et al. Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection , 2018, ECCV.
[15] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Antonio M. López,et al. Road Detection Based on Illuminant Invariance , 2011, IEEE Transactions on Intelligent Transportation Systems.
[17] Yang Wang,et al. Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation , 2016, ISVC.
[18] Ethan Fetaya,et al. Real-Time Category-Based and General Obstacle Detection for Autonomous Driving , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[19] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[20] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Wolfram Burgard,et al. Efficient deep models for monocular road segmentation , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[22] Hongdong Li,et al. Semisupervised and Weakly Supervised Road Detection Based on Generative Adversarial Networks , 2018, IEEE Signal Processing Letters.
[23] Simon Malinowski,et al. Combining convolutional side-outputs for road image segmentation , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).
[24] Vincent Frémont,et al. Exploiting fully convolutional neural networks for fast road detection , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[25] Xiangyu Zhang,et al. Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] John Zelek,et al. Road Segmentation in Street View Images Using Texture Information , 2016, 2016 13th Conference on Computer and Robot Vision (CRV).
[27] Marcelo H. Ang,et al. Perception, Planning, Control, and Coordination for Autonomous Vehicles , 2017 .
[28] Xinming Huang,et al. RoadNet-v2: A 10 ms Road Segmentation Using Spatial Sequence Layer , 2018, ArXiv.
[29] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[30] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[31] Junyu Gao,et al. Embedding structured contour and location prior in siamesed fully convolutional networks for road detection , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[32] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[33] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Rahul Mohan,et al. Deep Deconvolutional Networks for Scene Parsing , 2014, ArXiv.
[35] Roberto Cipolla,et al. Semantic object classes in video: A high-definition ground truth database , 2009, Pattern Recognit. Lett..
[36] Nick Barnes,et al. Learning appearance models for road detection , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[37] Ben Wang,et al. Reverse Attention for Salient Object Detection , 2018, ECCV.
[38] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[40] Guoying Zhao,et al. SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[42] Sebastian Thrun,et al. Towards fully autonomous driving: Systems and algorithms , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[43] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[45] Subhashis Banerjee,et al. Deep CNN with color lines model for unmarked road segmentation , 2017, 2017 IEEE International Conference on Image Processing (ICIP).