Point Cloud Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 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/aviros/pointnet_totations
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/aviros/roatationPointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/axeber01/point-tnt
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
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/bupt-gamma/gammagl
https://github.com/charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/coconutzs/PointNet_zs
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/cuge1995/PointCutMix
PointCutMix: Regularization Strategy for Point Cloud Classification
https://github.com/cy-xu/spatially_aware_ai
https://github.com/d62lu/3DCTN
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
https://github.com/debajyotid2/pointnet_pl
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/deepjets/deepjets
https://github.com/donshen/pointnet.phasedetection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/dwtstore/sfm1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/eth212/Qmind_ModelNet10_PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/fferroni/fisher_vector_classifier
https://github.com/freddieee/pn_6d_single
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/frgsimpson/kitt
https://github.com/ftdlyc/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/fxia22/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hamidreza-dastmalchi/3dd-tta
https://github.com/hansen7/NRS_3D
https://github.com/hnVfly/pointnet.mxnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hnmspirit/pointnet1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hqucms/ParticleNet
https://github.com/hz-ants/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/imanlab/deep_movement_primitives
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/innat/External-Attention-TensorFlow
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
https://github.com/irmvlab/point-mamba
https://github.com/jiajingchen113322/ViewNet
https://github.com/jmmartyn/neural-network-quantum-field-states
https://github.com/jtpils/treegan
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/julie-tang00/point-bert
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.