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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

Paper Title
Point-GN86.4YesPoint-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification
Point-NN64.9YesParameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
PointCLIP V235.4NoPointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
CLIP2Point23.2YesCLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
CALIP16.9NoCALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
PointCLIP15.4NoPointCLIP: Point Cloud Understanding by CLIP
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Training Free 3D Point Cloud Classification 1 | SOTA | HyperAI超神经