Papers with Code 아카이브
Supervised Only 3D Point Cloud Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/guochengqian/pointnext
공식 코드PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
https://github.com/hancyran/RepSurf
공식 코드https://github.com/ma-xu/pointmlp-pytorch
공식 코드Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
https://github.com/matrix-asc/dela
공식 코드https://github.com/mlvlab/spotr
공식 코드Self-positioning Point-based Transformer for Point Cloud Understanding
https://github.com/skyworkai/pointcloudmamba
공식 코드Point Cloud Mamba: Point Cloud Learning via State Space Model
https://github.com/tensorflow/tensor2tensor
공식 코드https://github.com/xhanxu/Mamba3D
공식 코드Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
https://github.com/yahuiliu99/pointcont
공식 코드Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
https://github.com/zhang-tao-whu/pcm
공식 코드Point Cloud Mamba: Point Cloud Learning via State Space Model
https://gitee.com/gai-shaoyan/mind3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/04RR/SOTA-Vision
https://github.com/1wy/bert
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Transformer
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-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/Code8/tree/main/AttentionCluster
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/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2024-MindSpore-1/Code4/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2024-MindSpore-1/Code4/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2miatran/Natural-Language-Processing
https://github.com/AI-Guru/pointcloud_experiments
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AlCorreia/FABIR
https://github.com/AlfredoZermini/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/AmitBracha/GIP_project
https://github.com/Amy-1114/transformer
https://github.com/AnTao97/dgcnn.pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.