https://github.com/mit-han-lab/spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/mit-han-lab/spvnas

3d-deep-learning architecture-search computer-vision deep-learning efficiency lidar point-cloud pytorch semantickitti

Last synced: about 2 months ago
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[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

• Host: GitHub
• URL: https://github.com/mit-han-lab/spvnas
• Owner: mit-han-lab
• License: mit
• Created: 2020-08-24T14:51:29.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-07-11T21:13:56.000Z (2 months ago)
• Last Synced: 2024-07-12T23:44:20.276Z (2 months ago)
• Topics: 3d-deep-learning, architecture-search, computer-vision, deep-learning, efficiency, lidar, point-cloud, pytorch, semantickitti
• Language: Python
• Homepage: http://spvnas.mit.edu/
• Size: 8.16 MB
• Stars: 578
• Watchers: 24
• Forks: 109
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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