Regression of Instance Boundary by Aggregated CNN and GCN
暂无分享,去创建一个
Wei Meng | Xiaowei Huang | Yanda Meng | Dongxu Gao | Xiaoyun Yang | Yalin Zheng | Yitian Zhao | Yitian Zhao | Yalin Zheng | Xiaowei Huang | Dongxu Gao | Xiaoyun Yang | Y. Meng | Wei Meng
[1] Gang Yu,et al. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation , 2018, ECCV.
[2] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Alejandro F. Frangi,et al. CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation , 2019, MICCAI.
[4] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[5] Sanja Fidler,et al. DARNet: Deep Active Ray Network for Building Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[7] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[8] Abhinav Gupta,et al. Beyond Grids: Learning Graph Representations for Visual Recognition , 2018, NeurIPS.
[9] Qichao Zhang,et al. Multi-task learning for dangerous object detection in autonomous driving , 2017, Inf. Sci..
[10] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[12] Il Dong Yun,et al. Deep Vessel Segmentation By Learning Graphical Connectivity , 2018, Medical Image Anal..
[13] Chunhua Shen,et al. PolarMask: Single Shot Instance Segmentation With Polar Representation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Josef Kittler,et al. Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Michael Garland,et al. Surface simplification using quadric error metrics , 1997, SIGGRAPH.
[16] Kaamran Raahemifar,et al. Retinal fundus images for glaucoma analysis: the RIGA dataset , 2018, Medical Imaging.
[17] Guy Cazuguel,et al. FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE , 2014 .
[18] Francisco Fumero,et al. RIM-ONE: An open retinal image database for optic nerve evaluation , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).
[19] Lior Wolf,et al. Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Yu Tian,et al. Semantic Graph Convolutional Networks for 3D Human Pose Regression , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Xiaoxiao Li,et al. Challenge : A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs , 2019 .
[22] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[23] Xiaochun Cao,et al. Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation , 2018, IEEE Transactions on Medical Imaging.
[24] Tien Yin Wong,et al. ORIGA-light: An online retinal fundus image database for glaucoma analysis and research , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[25] Bernard Ghanem,et al. DeepGCNs: Can GCNs Go As Deep As CNNs? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[26] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Yalin Zheng,et al. CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation , 2020, MICCAI.
[28] B. Ginneken,et al. Automated measurement of fetal head circumference using 2D ultrasound images , 2018, PloS one.
[29] Nima Tajbakhsh,et al. UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.
[30] Min Bai,et al. Learning Deep Structured Active Contours End-to-End , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[32] Xiaoxiao Li,et al. Semantic Image Segmentation via Deep Parsing Network , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[34] 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.
[35] Cewu Lu,et al. Explicit Shape Encoding for Real-Time Instance Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[36] Yi Zhang,et al. PSANet: Point-wise Spatial Attention Network for Scene Parsing , 2018, ECCV.
[37] Christian Szegedy,et al. DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[39] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2015, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Bryan M. Williams,et al. Learning Active Contour Models for Medical Image Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[42] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Carsten Rother,et al. Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction , 2018, IEEE Signal Processing Magazine.
[44] Jayanthi Sivaswamy,et al. Drishti-GS: Retinal image dataset for optic nerve head(ONH) segmentation , 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).
[45] Trevor Darrell,et al. Deep Layer Aggregation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Jun Fu,et al. Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[48] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[49] Fan Chung,et al. Spectral Graph Theory , 1996 .