https://github.com/GangZhang842/CPGNet
공식 코드CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
Papers with Code 아카이브
Robust 3D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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3D Semantic Segmentation under Out-of-Distribution Scenarios
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HuguesTHOMAS/KPConv
공식 코드KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/StanfordVL/MinkowskiEngine
공식 코드4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/TiagoCortinhal/SalsaNext
공식 코드https://github.com/edwardzhou130/PolarSeg
공식 코드PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
https://github.com/haibo-qiu/gfnet
공식 코드GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
https://github.com/huixiancheng/cenet
공식 코드CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
https://github.com/ldkong1205/Robo3D
공식 코드Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
https://github.com/lordzth666/WACV23_PIDS-Joint-Point-Interaction-Dimension-Search-for-3D-Point-Cloud
공식 코드PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
https://github.com/mit-han-lab/spvnas
공식 코드Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/placeforyiming/iros21-fidnet-semantickitti
공식 코드FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
https://github.com/valeoai/waffleiron
공식 코드Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
https://github.com/xinge008/Cylinder3D
공식 코드Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
https://github.com/yanx27/2dpass
공식 코드2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
https://github.com/Arjun-NA/KPConv_for_DALES
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/BichenWuUCB/SqueezeSeg
https://github.com/Halmstad-University/SalsaNext
https://github.com/Halmstad-University/TITAN-NET
https://github.com/HuguesTHOMAS/KPConv-PyTorch
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/JohnRomanelis/KPConv_torch_geometric
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/L-Reichardt/Cylinder3D-updated-CUDA
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
https://github.com/NVIDIA/MinkowskiEngine
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/PRBonn/lidar-bonnetal
https://github.com/Pointcept/Pointcept
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/XuyangBai/KPConv.pytorch
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/Yacovitch/EyeNet
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/YaraAlnaggar/SqueezeSeg
https://github.com/Yvanali/KITTISeg
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
https://github.com/bbejczy/polarseg-kitti
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
https://github.com/buildingnet/buildingnet_dataset
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/chenfengxu714/image2point
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/dablack2020/Seniordes
https://github.com/dkoh0207/lartpc_minkowski
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/genglinliu/KPConv_Pytorch
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/happytianhao/tade
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
https://github.com/huixiancheng/PCB-RandNet
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.