Semantic segmentation of 3D indoor LiDAR point clouds through feature pyramid architecture search
暂无分享,去创建一个
Cheng Wang | Yulan Guo | Zhipeng Luo | Yiping Chen | Jonathan Li | Wen Li | Haojia Lin | Shangbin Wu | Cheng Wang | Jonathan Li | Zhipeng Luo | Yiping Chen | Yulan Guo | Shangbin Wu | Haojia Lin | Wen Li
[1] Gongjian Wen,et al. Semantic Context Encoding for Accurate 3D Point Cloud Segmentation , 2021, IEEE Transactions on Multimedia.
[2] Silvio Savarese,et al. 3D Semantic Parsing of Large-Scale Indoor Spaces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] George Papandreou,et al. Searching for Efficient Multi-Scale Architectures for Dense Image Prediction , 2018, NeurIPS.
[4] Xiangyu Zhang,et al. Single Path One-Shot Neural Architecture Search with Uniform Sampling , 2019, ECCV.
[5] Matthias Nießner,et al. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[7] Saining Xie,et al. On Network Design Spaces for Visual Recognition , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] Mun-Cheon Kang,et al. Parallel Feature Pyramid Network for Object Detection , 2018, ECCV.
[9] Hang Xu,et al. Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Bingbing Ni,et al. Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Fuxin Li,et al. PointConv: Deep Convolutional Networks on 3D Point Clouds , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Trevor Darrell,et al. Deep Layer Aggregation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Shuguang Cui,et al. FPConv: Learning Local Flattening for Point Convolution , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Subhransu Maji,et al. Multi-view Convolutional Neural Networks for 3D Shape Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Kaizhu Huang,et al. Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training , 2020, ACM Multimedia.
[17] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Pengfei Xiong,et al. Pyramid Attention Network for Semantic Segmentation , 2018, BMVC.
[19] Ying Li,et al. Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments , 2021, IEEE Transactions on Intelligent Transportation Systems.
[20] Chi-Wing Fu,et al. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Shuguang Cui,et al. PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jinhui Tang,et al. Feature Pyramid Transformer , 2020, ECCV.
[23] Chi-Wing Fu,et al. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[24] Monika Sester,et al. Semantics-guided reconstruction of indoor navigation elements from 3D colorized points , 2021 .
[25] Sebastian Scherer,et al. VoxNet: A 3D Convolutional Neural Network for real-time object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[26] Frank Hutter,et al. Neural Architecture Search: A Survey , 2018, J. Mach. Learn. Res..
[27] Shu Liu,et al. Path Aggregation Network for Instance Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Vladlen Koltun,et al. Tangent Convolutions for Dense Prediction in 3D , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Tao Mei,et al. Customizable Architecture Search for Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Samuel S. Schoenholz,et al. Neural Message Passing for Quantum Chemistry , 2017, ICML.
[31] Song Han,et al. Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution , 2020, ECCV.
[32] Bernard Ghanem,et al. DeepGCNs: Can GCNs Go As Deep As CNNs? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[34] Cheng Wang,et al. Adaptive Pyramid Context Fusion for Point Cloud Perception , 2020, IEEE Geoscience and Remote Sensing Letters.
[35] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[36] Jian Sun,et al. DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Fabio Maria Carlucci,et al. NAS evaluation is frustratingly hard , 2020, ICLR.
[38] Kai Xu,et al. Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Yue Wang,et al. Dynamic Graph CNN for Learning on Point Clouds , 2018, ACM Trans. Graph..
[40] Kaleem Siddiqi,et al. Local Spectral Graph Convolution for Point Set Feature Learning , 2018, ECCV.
[41] Alexandre Boulch,et al. SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks , 2017, Comput. Graph..
[42] Ulrich Neumann,et al. Grid-GCN for Fast and Scalable Point Cloud Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Martin Simonovsky,et al. Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Florent Lafarge,et al. Pyramid scene parsing network in 3D: Improving semantic segmentation of point clouds with multi-scale contextual information , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[46] Wei Wu,et al. PointCNN: Convolution On X-Transformed Points , 2018, NeurIPS.
[47] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[48] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.