Semantic segmentation based on double pyramid network with improved global attention mechanism
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[1] David J. Crandall,et al. Segmenting Objects From Relational Visual Data , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Pei-Yung Hsiao,et al. Using Channel-Wise Attention for Deep CNN Based Real-Time Semantic Segmentation With Class-Aware Edge Information , 2021, IEEE Transactions on Intelligent Transportation Systems.
[3] Jiebo Luo,et al. Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Jiayi Ma,et al. Semantic segmentation using stride spatial pyramid pooling and dual attention decoder , 2020, Pattern Recognit..
[5] Yong Zhao,et al. PCANet: Pyramid convolutional attention network for semantic segmentation , 2020, Image Vis. Comput..
[6] Min Zhang,et al. Two-branch encoding and iterative attention decoding network for semantic segmentation , 2020, Neural Computing and Applications.
[7] Yan Yan,et al. Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes , 2020, IEEE Transactions on Intelligent Transportation Systems.
[8] Shan Zhong,et al. DXNet: An Encoder-Decoder Architecture with XSPP for Semantic Image Segmentation in Street Scenes , 2019, ICONIP.
[9] Ling Shao,et al. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Yu Qiao,et al. Dynamic Multi-Scale Filters for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[11] Xilin Chen,et al. Object-Contextual Representations for Semantic Segmentation , 2019, ECCV.
[12] Xiang Bai,et al. Asymmetric Non-Local Neural Networks for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] Forrest N. Iandola,et al. SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[14] Jun Li,et al. Global Attention Pyramid Network for Semantic Segmentation , 2019, 2019 Chinese Control Conference (CCC).
[15] Ling Shao,et al. See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Yizhou Yu,et al. FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation , 2019, ArXiv.
[17] Mohammad Rastegari,et al. ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Jun Fu,et al. Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[20] Seungmin Rho,et al. Medical image semantic segmentation based on deep learning , 2017, Neural Computing and Applications.
[21] Caiming Zhang,et al. A Simple Algorithm of Superpixel Segmentation With Boundary Constraint , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[22] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] 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.
[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] Guosheng Lin,et al. Exploring Context with Deep Structured Models for Semantic Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] S. Jyothi,et al. A Survey on Threshold Based Segmentation Technique in Image Processing , 2014 .
[29] Trevor Darrell,et al. Fully convolutional networks for semantic segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[32] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[33] David Zhang,et al. A survey of graph theoretical approaches to image segmentation , 2013, Pattern Recognit..
[34] Meng Wang,et al. Multimodal Graph-Based Reranking for Web Image Search , 2012, IEEE Transactions on Image Processing.
[35] Christopher K. I. Williams,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[36] Wen-Xiong Kang,et al. The Comparative Research on Image Segmentation Algorithms , 2009, 2009 First International Workshop on Education Technology and Computer Science.
[37] Yan Zhou,et al. Self-attention feature fusion network for semantic segmentation , 2021, Neurocomputing.
[38] Graham Harman. Network , 2021, Future Theory.
[39] Byungjae Park,et al. Accelerator-Aware Fast Spatial Feature Network for Real-Time Semantic Segmentation , 2020, IEEE Access.
[40] Yi Wang,et al. RANet: Region Attention Network for Semantic Segmentation , 2020, NeurIPS.
[41] Qingliang Chen,et al. Multi-Scale Convolutional Features Network for Semantic Segmentation in Indoor Scenes , 2020, IEEE Access.
[42] Yuzhen Niu,et al. Pyramid Context Contrast for Semantic Segmentation , 2019, IEEE Access.