HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

3D Point Cloud Classification On Intra

평가 지표

F1 score (5-fold)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1 score (5-fold)	Paper Title	Repository
PointConv	0.883	PointConv: Deep Convolutional Networks on 3D Point Clouds
AdaptConv	0.858	Adaptive Graph Convolution for Point Cloud Analysis
SO-Net	0.868	SO-Net: Self-Organizing Network for Point Cloud Analysis
PointCNN	0.875	PointCNN: Convolution On X-Transformed Points	-
SpiderCNN	0.872	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
3DMedPT	0.936	3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
PointNet++	0.903	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
GS-Net	0.872	Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
DGCNN	0.738	Dynamic Graph CNN for Learning on Point Clouds
PCT	0.914	PCT: Point cloud transformer
PointNet	0.684	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PAConv	0.906	PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

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