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Title: GitHub - Shathe/3D-MiniNet: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

Open Graph Title: GitHub - Shathe/3D-MiniNet: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

X Title: GitHub - Shathe/3D-MiniNet: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

Description: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation - Shathe/3D-MiniNet

Open Graph Description: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation - Shathe/3D-MiniNet

X Description: Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation - Shathe/3D-MiniNet

Opengraph URL: https://github.com/Shathe/3D-MiniNet

X: @github

direct link

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https://patch-diff.githubusercontent.com/Shathe/3D-MiniNet#3d-mininet-learning-a-2d-representation-from-point-clouds-for-fast-and-efficient-3d-lidar-semantic-segmentation
https://paperswithcode.com/sota/3d-semantic-segmentation-on-semantickitti?p=3d-mininet-learning-a-2d-representation-from
https://paperswithcode.com/sota/real-time-3d-semantic-segmentation-on?p=3d-mininet-learning-a-2d-representation-from
https://arxiv.org/pdf/2002.10893.pdf
https://patch-diff.githubusercontent.com/Shathe/3D-MiniNet#introduction
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