3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
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- Type
- preprint
- Published
- 2017-11-28
- Cited by
- 1,885
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W2769297824
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10154243
Keywords
Computer science, Point cloud, Artificial intelligence, Segmentation, Convolutional neural network
References
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Fully convolutional networks for semantic segmentation
- Sparse Convolutional Neural Networks
- Shape Matching and Object Recognition Using Shape Contexts
- Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
- Optimal Brain Damage
- Sparse 3D convolutional neural networks
- Deep Residual Learning for Image Recognition
- VoxNet: A 3D Convolutional Neural Network for real-time object recognition
- Deconvolutional networks
- Voting for Voting in Online Point Cloud Object Detection
- Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks
- OctNet: Learning Deep 3D Representations at High Resolutions
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
- Submanifold Sparse Convolutional Networks
- Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
- 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
- U-Net: Convolutional Networks for Biomedical Image Segmentation
Cited by
- Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
- H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
- Large-scale Machine Learning for Point Cloud Processing
- Is Neuromorphic MNIST Neuromorphic? Analyzing the Discriminative Power of Neuromorphic Datasets in the Time Domain
- Convolutional sparse kernel network for unsupervised medical image analysis
- MeshCNN: a network with an edge
- SECOND: Sparsely Embedded Convolutional Detection
- PointCNN: Convolution On X-Transformed Points
- Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
- PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
- 3D Deep Object Recognition and Semantic Understanding for Visually-Guided Robotic Service
- Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
- MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
- 3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
- Communication Scheduling Optimization for Distributed Deep Learning Systems
- PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
- PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things
- Real-time Multiple People Hand Localization in 4D Point Clouds
- BAE-NET: Branched Autoencoder for Shape Co-Segmentation
- A Dataset for Semantic Segmentation of Point Cloud Sequences