paper-with-me

Robust 3D Semantic Segmentation 벤치마크

Robust 3D Semantic Segmentation on WOD-C

15개 결과 · ⬇ CSV · JSON

mean Corruption Error (mCE) 낮을수록 좋음

96.21 98.66 101.1 103.6 106 2019-04 2026-09 MinkUNet-34 — 96.21 (2019-04-18) MinkUNet-18 — 100.0 (2019-04-18) MinkUNet-34 — 96.21 (2019-04-18) MinkUNet-18 — 100.0 (2019-04-18) MinkUNet-34 — 96.21 (2019-04-18) MinkUNet-18 — 100.0 (2019-04-18) SPVCNN-34 — 98.72 (2020-07-31) SPVCNN-18 — 103.6 (2020-07-31) SPVCNN-34 — 98.72 (2020-07-31) SPVCNN-18 — 103.6 (2020-07-31) SPVCNN-34 — 98.72 (2020-07-31) SPVCNN-18 — 103.6 (2020-07-31) Cylinder3D (torchsparse) — 106.02 (2020-11-19) Cylinder3D (torchsparse) — 106.02 (2020-11-19) Cylinder3D (torchsparse) — 106.02 (2020-11-19) MinkUNet-34 — 96.21 (2019-04-18)
RankModel mean Corruption Error (mCE) PaperCodeYear
1 MinkUNet-34 96.21% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
2 SPVCNN-34 98.72% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
3 MinkUNet-18 100.00% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
4 SPVCNN-18 103.60% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
5 Cylinder3D (torchsparse) 106.02% Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation xinge008/Cylinder3D · L-Reichardt/Cylinder3D-updated-CUDA 2020
6 MinkUNet-34 96.21% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
7 SPVCNN-34 98.72% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
8 MinkUNet-18 100.00% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
9 SPVCNN-18 103.60% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
10 Cylinder3D (torchsparse) 106.02% Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation xinge008/Cylinder3D · L-Reichardt/Cylinder3D-updated-CUDA 2020
11 MinkUNet-34 96.21% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
12 SPVCNN-34 98.72% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
13 MinkUNet-18 100.00% 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks NVIDIA/MinkowskiEngine · StanfordVL/MinkowskiEngine · Pointcept/Pointcept · +5 2019
14 SPVCNN-18 103.60% Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Pointcept/Pointcept · mit-han-lab/torchsparse · mit-han-lab/spvnas · +3 2020
15 Cylinder3D (torchsparse) 106.02% Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation xinge008/Cylinder3D · L-Reichardt/Cylinder3D-updated-CUDA 2020
1–15 / 15 페이지당 10 20 50 100