https://github.com/brbzjl/pointnet2
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/brendanmallery9/entropic-barycenters
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/brent-murray/tr3d_pointaugdgcnn
https://github.com/bt77/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/btgraham/SparseConvNet
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
https://github.com/bupt-gamma/gammagl
https://github.com/c3210927/point_cnn
https://github.com/caizeyu1992/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/cardwing/codes-for-pvkd
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
https://github.com/charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/chenfengxu714/YOGO
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
https://github.com/chenfengxu714/image2point
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/coconutzs/PointNet_zs
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/code-implementation1/Code6/tree/main/pointtransformer
https://github.com/curryyuan/x-trans2cap
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/cy-xu/spatially_aware_ai
https://github.com/dablack2020/Seniordes
https://github.com/daerduoCarey/partnet_anno_system
https://github.com/daerduoCarey/partnet_dataset
https://github.com/debajyotid2/pointnet_pl
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/dfki-av/mikasa-3dvg
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/dgriffiths3/pointnet2-tensorflow2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/dkoh0207/lartpc_minkowski
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/dmcv-ecnu/MindSpore_ModelZoo/tree/main/RandLA-Net_Mindspore
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
https://github.com/donshen/pointnet.phasedetection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/dvlab-research/imbalanced-learning
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
https://github.com/dvlab-research/mask-attention-free-transformer
https://github.com/dwtstore/sfm1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/edraizen/molmimic
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
https://github.com/engelnico/point-transformer
https://github.com/erikwijmans/Pointnet2_PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/eth212/Qmind_ModelNet10_PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/facebookresearch/imvotenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/facebookresearch/votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/francisengelmann/DPC
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.