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INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation (CVPR 2022)

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INS-Conv: Incremental Sparse Convolution for Online 3D segmentation

This is the incremental sparse convolution library implemented based on SparseConvNet and Live Semantic 3D Perception for Immersive Augmented Reality. The later describes a more efficient GPU implementation of the original submanifold sparse convolution. Our method supports incremental computing of sparse convolution, including SSC, convolution/deconvolution, BN, IO, and residual structure, etc.

Environment setup

Preliminary Requirements:

  • Ubuntu 16.04
  • CUDA 9.0

Install

conda env create -f p1.yml
sh all_build.sh

Demo

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INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation (CVPR 2022)

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  • Cuda 58.8%
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