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SOTA
免训练三维点云分类
Training Free 3D Point Cloud Classification 1
Training Free 3D Point Cloud Classification 1
评估指标
Accuracy (%)
Need 3D Data?
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy (%)
Need 3D Data?
Paper Title
Repository
Point-GN
86.4
Yes
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification
Point-NN
64.9
Yes
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
PointCLIP V2
35.4
No
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
CLIP2Point
23.2
Yes
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
CALIP
16.9
No
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
PointCLIP
15.4
No
PointCLIP: Point Cloud Understanding by CLIP
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Training Free 3D Point Cloud Classification 1 | SOTA | HyperAI超神经