Papers with Code 아카이브
Point Cloud Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 25
Point Cloud Classification is a task involving the classification of unordered 3D point sets (point clouds).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sailor-z/LGR-Net
공식 코드Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
https://github.com/shenzheng2000/pointnorm-for-point-cloud-analysis
공식 코드PointNorm: Dual Normalization is All You Need for Point Cloud Analysis
https://github.com/shinke-li/pointcvar
공식 코드Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
https://github.com/sitzikbs/3DmFV-Net
공식 코드https://github.com/takahikof/stag
공식 코드https://github.com/taolicheng/VAE-Jet
공식 코드https://github.com/tiangexiang/CurveNet
공식 코드Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
https://github.com/trlou/hit-adv
공식 코드Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
https://github.com/tyhuang0428/CLIP2Point
공식 코드CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
https://github.com/uhh-pd-ml/omnijet_alpha
공식 코드OmniJet-$α$: The first cross-task foundation model for particle physics
https://github.com/vcg-uvic/acne
공식 코드ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
https://github.com/wingkeungm/rffs-net
공식 코드https://github.com/yahuiliu99/pointcont
공식 코드Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
https://github.com/yangfengseu/cedr
공식 코드https://github.com/yangyeeee/apsnet
공식 코드https://github.com/yossilevii100/EPiC
공식 코드EPiC: Ensemble of Partial Point Clouds for Robust Classification
https://github.com/yossilevii100/critical_points2
공식 코드https://github.com/yossilevii100/refocusing
공식 코드https://github.com/yue-t99/pointnet2-geometricfeatures-facade
공식 코드Classifying point clouds at the facade-level using geometric features and deep learning networks
https://github.com/yunlu-chen/PointMixup
공식 코드https://github.com/yvsemlani/pcn-jet-tagging
공식 코드https://github.com/yxltya/pointdgmamba
공식 코드PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
https://github.com/zhulf0804/pv-ada
공식 코드Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification
https://github.com/ziqipang/lm4visualencoding
공식 코드Frozen Transformers in Language Models Are Effective Visual Encoder Layers
https://github.com/zou-longkun/gast
공식 코드Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds
https://github.com/zou-longkun/rpd
공식 코드Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
https://github.com/zsc000722/ppt
공식 코드Positional Prompt Tuning for Efficient 3D Representation Learning
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-35
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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-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
https://github.com/2024-MindSpore-1/Code4/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AI-Guru/pointcloud_experiments
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AlfredoZermini/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.