| isl-org/Open3D-ML |
2,221 |
|
0 |
0 |
3 months ago |
0 |
|
104 |
other |
Python |
| An extension of Open3D to address 3D Machine Learning tasks |
| Yangzhangcst/RGBD-semantic-segmentation |
290 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
|
| A paper list of RGBD semantic segmentation (processing) |
| yikaiw/CEN |
229 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| [TPAMI 2022, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging" |
| TUI-NICR/ESANet |
206 |
|
0 |
0 |
over 2 years ago |
0 |
|
32 |
other |
Python |
| ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis |
| ankurhanda/sunrgbd-meta-data |
104 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Matlab |
| train test labels for sunrgbd |
| charlesCXK/PyTorch_Semantic_Segmentation |
73 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN |
| hanchaoleng/ShapeConv |
69 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021) |
| TUI-NICR/EMSANet |
42 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
apache-2.0 |
Python |
| EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments |
| LinZhuoChen/SGNet |
33 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
|
Python |
| [TIP 2021] Spatial information guided Convolution for Real-Time RGBD Semantic Segmentation |
| chrischoy/SUN_RGBD |
16 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Shell |
| Reorganized SUN RGBD dataset |
