3D Point Cloud Classification on ModelNet10

Metric: Accuracy (%) (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy (%)▼	Extra Data	Paper	Date↕	Code
1	ReCon	75.6	Yes	Contrast with Reconstruct: Contrastive 3D Repres...	2023-02-05	Code
2	PointCLIP V2	73.13	Yes	PointCLIP V2: Prompting CLIP and GPT for Powerfu...	2022-11-21	Code
3	CLIP2Point	66.63	Yes	CLIP2Point: Transfer CLIP to Point Cloud Classif...	2022-10-03	Code
4	PointCLIP	30.23	Yes	PointCLIP: Point Cloud Understanding by CLIP	2021-12-04	Code

#1ReConSOTA
75.6
Accuracy (%)· Extra Data· 2023-02-05
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Code
#2PointCLIP V2SOTA
73.13
Accuracy (%)· Extra Data· 2022-11-21
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning Code
#3CLIP2PointSOTA
66.63
Accuracy (%)· Extra Data· 2022-10-03
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training Code
#4PointCLIPSOTA
30.23
Accuracy (%)· Extra Data· 2021-12-04
PointCLIP: Point Cloud Understanding by CLIP Code