Browse SoTA > Computer Vision > Semantic Segmentation > 3D Semantic Segmentation

3D Semantic Segmentation

35 papers with code · Computer Vision

Benchmarks

Greatest papers with code

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

CVPR 2019 StanfordVL/MinkowskiEngine

To overcome challenges in the 4D space, we propose the hybrid kernel, a special case of the generalized sparse convolution, and the trilateral-stationary conditional random field that enforces spatio-temporal consistency in the 7D space-time-chroma space.

3D SEMANTIC SEGMENTATION 4D SPATIO TEMPORAL SEMANTIC SEGMENTATION

DeepGCNs: Can GCNs Go as Deep as CNNs?

ICCV 2019 lightaime/deep_gcns

Finally, we use these new concepts to build a very deep 56-layer GCN, and show how it significantly boosts performance (+3. 7% mIoU over state-of-the-art) in the task of point cloud semantic segmentation.

3D SEMANTIC SEGMENTATION

DeepGCNs: Can GCNs Go as Deep as CNNs?

ICCV 2019 2019 lightaime/deep_gcns_torch

Finally, we use these new concepts to build a very deep 56-layer GCN, and show how it significantly boosts performance (+3. 7% mIoU over state-of-the-art) in the task of point cloud semantic segmentation.

3D PART SEGMENTATION 3D SEMANTIC SEGMENTATION NODE CLASSIFICATION

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

CVPR 2018 loicland/superpoint_graph

We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of millions of points.

3D SEMANTIC SEGMENTATION