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Robust 3D Semantic Segmentation

3D Semantic Segmentation under Out-of-Distribution Scenarios

Papers

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Showing 1–19 of 19 papers

TitleStatusHype
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural NetworksCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionCode2
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
GFNet: Geometric Flow Network for 3D Point Cloud Semantic SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
PIDS: Joint Point Interaction-Dimension Search for 3D Point CloudCode0
Robo3D: Towards Robust and Reliable 3D Perception against CorruptionsCode0
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point CloudCode0
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point CloudCode0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation—0
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