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Point Cloud Segmentation
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3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data. This problem has many applications in robotics such as intelligent vehicles, autonomous mapping and navigation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sbysbysbys/uov
공식 코드https://github.com/sharpershape/eclair-dataset
공식 코드ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation
https://github.com/shinke-li/Campus3D
공식 코드Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
https://github.com/sj-li/unpnet
공식 코드https://github.com/smartaec/synthetic-point-clouds-for-semantic-segmentation
공식 코드Impact of color and mixing proportion of synthetic point clouds on semantic segmentation
https://github.com/smartbot-pjlab/p3former
공식 코드Position-Guided Point Cloud Panoptic Segmentation Transformer
https://github.com/smiletoe/hpal
공식 코드Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
https://github.com/sunny599/aaai24-3dwssg-mma
공식 코드Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
https://github.com/suyanfei/DLA-Net
공식 코드https://github.com/tpzou/hgl
공식 코드HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
https://github.com/viscom-ulm/MCCNN
공식 코드Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
https://github.com/wangzy22/SemAffiNet
공식 코드SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
https://github.com/wu-zhonghua/rac-net
공식 코드Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
https://github.com/xiaoaoran/FPS-Net
공식 코드FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
https://github.com/xiaohulugo/3DLineDetection
공식 코드https://github.com/yangfei1223/crfconv
공식 코드Continuous Conditional Random Field Convolution for Point Cloud Segmentation
https://github.com/yanhaowu/stssl
공식 코드Spatiotemporal Self-supervised Learning for Point Clouds in the Wild
https://github.com/yanx27/JS3C-Net
공식 코드https://github.com/yizhenlao/fec
공식 코드https://github.com/zhangkuns/openmaskdino3d
공식 코드OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model
https://github.com/zhaochongan/gfs-vl
공식 코드Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
https://github.com/zhaochongan/multimodality-3d-few-shot
공식 코드Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation
https://gitee.com/gai-shaoyan/mind3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-114
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pointtransformer
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-35
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-48
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-8/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/frustum-pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-4/Code9/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.