https://github.com/Ghailen-Ben-Achour/PointNet2_Segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Papers with Code 아카이브
3D Semantic Segmentation
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3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Halmstad-University/SalsaNext
https://github.com/Halmstad-University/TITAN-NET
https://github.com/Harut0726/my-pointnet-tensorflow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Harut0726/votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/HiLab-git/DTC
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
https://github.com/HuguesTHOMAS/KPConv-PyTorch
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/IsaacRe/splatnet
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
https://github.com/Jagyan/ghost_radarpoint_detection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Javed002/Object_detection_PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Jiang-Muyun/Open3D-Semantic-KITTI-vis
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
https://github.com/JingfeiHuang/DGCNN-Paddle
https://github.com/JohnRomanelis/KPConv_torch_geometric
KPConv: Flexible and Deformable Convolution for Point Clouds
https://github.com/JohnsonSign/PointCMP
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/KaidongLi/tf-3d-alpha
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Kaz-K/robust-glioma-segmentation
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
https://github.com/KernelA/pytorch-point-transformer
https://github.com/KhusDM/PointNetTree
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/KiranAkadas/My_Pointnet_v2
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/KrissHs/KIT19
https://github.com/L-Reichardt/Cylinder3D-updated-CUDA
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
https://github.com/LONG-9621/Extract_Point_3D
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/LONG-9621/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/LONG-9621/PointNet-
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/LONG-9621/SparseConvNet
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
https://github.com/LONG-9621/VoteNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/LebronGG/ASIS
Associatively Segmenting Instances and Semantics in Point Clouds
https://github.com/LebronGG/PointCnn
https://github.com/LebronGG/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/LinZhuoChen/pointnet2_multi_gpu
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Lonepic/SPIB
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Luoxd1996/DTC
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
https://github.com/Lw510107/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Lw510107/pointnet-2018.6.27-
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MIC-DKFZ/MedNeXt
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
https://github.com/MS-Mind/MS-Code-06/tree/main/pointtransformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.