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Models/3D-MiniNet-tiny

3D-MiniNet-tiny

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Semantic SegmentationonSemanticKITTI
Speed (FPS)· 2020-02-25
98
SOTA
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
Semantic SegmentationonSemanticKITTI
Parameters (M)· 2020-02-25
0.44
best: 3.97 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
Semantic SegmentationonSemanticKITTI
mIoU· 2020-02-25
46.9
best: 55.8 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893

Computer Vision3 results

3D Semantic SegmentationonSemanticKITTI
Speed (FPS)· 2020-02-25
98
SOTA
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
3D Semantic SegmentationonSemanticKITTI
Parameters (M)· 2020-02-25
0.44
best: 3.97 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
3D Semantic SegmentationonSemanticKITTI
mIoU· 2020-02-25
46.9
best: 55.8 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893

Audio3 results

10-shot image generationonSemanticKITTI
Speed (FPS)· 2020-02-25
98
SOTA
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
10-shot image generationonSemanticKITTI
Parameters (M)· 2020-02-25
0.44
best: 3.97 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893
10-shot image generationonSemanticKITTI
mIoU· 2020-02-25
46.9
best: 55.8 (3D-MiniNet)
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation arXiv:2002.10893