Papers with Code · CC BY-SA 4.0

ModelNet40

아카이브 평가 20건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
Point-JEPA	Overall Accuracy 93.7±0.2	Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud 2024-04-25	코드 1
ReCon++	Overall Accuracy 93.6	ShapeLLM: Universal 3D Object Understanding for Embodied Interaction 2024-02-27	코드 1 · 코드 2 · 코드 3
I2P-MAE	Overall Accuracy 93.4	Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders 2022-12-13	코드 1 · 코드 2
ReCon	Overall Accuracy 93.4	Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining 2023-02-05	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
Point-M2AE	Overall Accuracy 92.9	Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training 2022-05-28	코드 1 · 코드 2 · 코드 3
IAE (DGCNN)	Overall Accuracy 92.1	Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning 2022-01-03	코드 1
AdaCrossNet	Overall Accuracy 91.8	AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning 2025-01-02	코드 1
CrossMoCo	Overall Accuracy 91.49	CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud 2023-06-08	코드 1
CrossPoint	Overall Accuracy 91.2	CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding 2022-03-01	코드 1
STRL	Overall Accuracy 90.9	Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds 2021-09-01	코드 1
PSG-Net	Overall Accuracy 90.9	Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning 2021-12-09	연결 없음
PointOE	Overall Accuracy 90.7	Self-supervised Learning of Point Clouds via Orientation Estimation 2020-08-01	코드 1
Point-Jigsaw	Overall Accuracy 90.6	Self-Supervised Deep Learning on Point Clouds by Reconstructing Space 2019-01-24	연결 없음
MID-FC	Overall Accuracy 90.3	Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination 2020-08-03	코드 1
VIP-GAN	Overall Accuracy 90.2	View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions 2018-11-07	연결 없음
OcCo	Overall Accuracy 89.2	Unsupervised Point Cloud Pre-Training via Occlusion Completion 2020-10-02	코드 1
FoldingNet	Overall Accuracy 88.4	FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation 2017-12-19	코드 1 · 코드 2 · 코드 3
MAE-VAE	Overall Accuracy 88.4	Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction 2019-07-30	연결 없음
SO-Net	Overall Accuracy 87.5	SO-Net: Self-Organizing Network for Point Cloud Analysis 2018-03-12	코드 1 · 코드 2 · 코드 3
3D-GAN	Overall Accuracy 83.3	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling 2016-10-24	코드 1 · 코드 2 · 코드 3