SOTAVerified

Robust 3D Semantic Segmentation

3D Semantic Segmentation under Out-of-Distribution Scenarios

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–19 of 19 papers

TitleStatusHype
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
RangeNet++: Fast and Accurate LiDAR Semantic SegmentationCode1
KPConv: Flexible and Deformable Convolution for Point CloudsCode1
Robo3D: Towards Robust and Reliable 3D Perception against CorruptionsCode0
PIDS: Joint Point Interaction-Dimension Search for 3D 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
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point CloudCode0
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point CloudCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.