https://github.com/tsunghan-mama/RandLA-Net-pytorch
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
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/tsunghan-wu/randla-net-pytorch
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
https://github.com/tuananh1007/Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds
Associatively Segmenting Instances and Semantics in Point Clouds
https://github.com/tudelft3d/3D_Urban_Mesh_Annotator
https://github.com/tui-nicr/emsaformer
https://github.com/tui-nicr/emsanet
https://github.com/tui-nicr/nicr-scene-analysis-datasets
https://github.com/umich-curly/3dmapping
https://github.com/umich-curly/bki_ros
https://github.com/unmannedlab/point_labeler
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
https://github.com/vinits5/learning3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/visionrd-ai/vFusedSeg3D
vFusedSeg3D: 3rd Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation
https://github.com/witignite/Frustum-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/wonderland-dsg/pointnet-grid
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/wuryantoAji/POINTNET
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/xiuyu0000/vision/blob/main/mindvision/ms3d/models/pointnet2cls.py
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/xrndai/dgcnn_amino_acid_structure
https://github.com/xuanyuzhou98/SqueezeSeg
https://github.com/xuanyuzhou98/SqueezeSegV2
https://github.com/xurui1217/pointnet.pytorch-master
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/xurui1217/pointnet2-master
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/y2kmz/pointnetv2
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yangyanli/PointCNN
https://github.com/yangyucheng000/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yanx27/Pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yanx27/Pointnet_Pointnet2_pytorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/yanxp/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yevgm/deepadv3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yossilevii100/critical_points2
https://github.com/yossilevii100/refocusing
https://github.com/ytng001/sensemaking
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/yyliu01/tracoco
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
https://github.com/zaiweizhang/H3DNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/zenroad/modifypointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/zghera/pvcnn-tf
https://github.com/zghera/voxel-tf-ops
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.