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Models/SAPCA (Cylinder3D)

SAPCA (Cylinder3D)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical3 results

Semantic SegmentationonSemanticKITTI
mIoU (1% Labels)· 2022-06-20
50.9
best: 61.1 (PLE (Voxel))
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664
Semantic SegmentationonSemanticKITTI
mIoU (10% Labels)· 2022-06-20
64
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664
Semantic SegmentationonSemanticKITTI
mIoU (50% Labels)· 2022-06-20
64.9
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664

Audio3 results

10-shot image generationonSemanticKITTI
mIoU (1% Labels)· 2022-06-20
50.9
best: 61.1 (PLE (Voxel))
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664
10-shot image generationonSemanticKITTI
mIoU (10% Labels)· 2022-06-20
64
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664
10-shot image generationonSemanticKITTI
mIoU (50% Labels)· 2022-06-20
64.9
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
SOTA
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation arXiv:2206.09664