OpenCodePapers
3d-point-cloud-linear-classification-on-modelnet40
Point Cloud Analysis
3D Point Cloud Classification
3D Point Cloud Linear Classification
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Paper
Code
Overall Accuracy
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ModelName
ReleaseDate
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Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
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93.7±0.2
Point-JEPA
2024-04-25
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
✓ Link
93.6
ReCon++
2024-02-27
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
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93.4
I2P-MAE
2022-12-13
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
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93.4
ReCon
2023-02-05
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
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92.9
Point-M2AE
2022-05-28
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
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92.1
IAE (DGCNN)
2022-01-03
AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning
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91.8
AdaCrossNet
2025-01-02
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud
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91.49
CrossMoCo
2023-06-08
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
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91.2
CrossPoint
2022-03-01
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
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90.9
STRL
2021-09-01
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning
90.9
PSG-Net
2021-12-09
Self-supervised Learning of Point Clouds via Orientation Estimation
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90.7
PointOE
2020-08-01
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
90.6
Point-Jigsaw
2019-01-24
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
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90.3
MID-FC
2020-08-03
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
90.2
VIP-GAN
2018-11-07
Unsupervised Point Cloud Pre-Training via Occlusion Completion
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89.2
OcCo
2020-10-02
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
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88.4
FoldingNet
2017-12-19
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
88.4
MAE-VAE
2019-07-30
SO-Net: Self-Organizing Network for Point Cloud Analysis
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87.5
SO-Net
2018-03-12
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
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83.3
3D-GAN
2016-10-24
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