Papers with Code · CC BY-SA 4.0

ModelNet40

아카이브 평가 111건 · 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
ULIP + PointNet++(ssg)	Overall Accuracy 93.4 Mean Accuracy 91.2	ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding 2022-12-10	코드 1
PointCutmix	Overall Accuracy 93.4	PointCutMix: Regularization Strategy for Point Cloud Classification 2021-01-05	코드 1 · 코드 2
3DMedPT	Overall Accuracy 93.4 Number of params 1.54M	3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis 2021-12-09	코드 1
DGCNN + MD	Overall Accuracy 93.39 Mean Accuracy 89.88	Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes 2021-09-01	코드 1
OGNet + MD	Overall Accuracy 93.31 Mean Accuracy 90.71	Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes 2021-09-01	코드 1
OG-Net-Small	Overall Accuracy 93.3 Mean Accuracy 90.5 Number of params 1.22M	Parameter-Efficient Person Re-identification in the 3D Space 2020-06-08	코드 1
PointStack	Overall Accuracy 93.3 Mean Accuracy 89.6	Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling 2022-05-20	코드 1 · 코드 2
PointNet++ + SageMix	Overall Accuracy 93.3	SageMix: Saliency-Guided Mixup for Point Clouds 2022-10-13	코드 1
PointASNL	Overall Accuracy 93.2	PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 2020-03-01	코드 1
Point Cloud Transformer	Overall Accuracy 93.2 Number of params 2.88M	PCT: Point cloud transformer 2020-12-17	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
DRNet	Overall Accuracy 93.1	Dense-Resolution Network for Point Cloud Classification and Segmentation 2020-05-14	코드 1
ShellNet	Overall Accuracy 93.1	ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics 2019-08-17	코드 1
STRL + DGCNN	Overall Accuracy 93.1	Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds 2021-09-01	코드 1
PatchAugment+DGCNN	Overall Accuracy 93.1	연결 없음 논문 날짜 미기재	연결 없음
AdaCrossNet	Overall Accuracy 93.1	AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning 2025-01-02	코드 1
PointManifold	Overall Accuracy 93.0 Mean Accuracy 90.4	PointManifold: Using Manifold Learning for Point Cloud Classification 2020-10-14	연결 없음
InterpCNN	Overall Accuracy 93.0	Interpolated Convolutional Networks for 3D Point Cloud Understanding 2019-08-13	연결 없음
DGCNN	Overall Accuracy 92.9 Mean Accuracy 90.2 Number of params 1.81M	Dynamic Graph CNN for Learning on Point Clouds 2018-01-24	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21
KPConv	Overall Accuracy 92.9	KPConv: Flexible and Deformable Convolution for Point Clouds 2019-04-18	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10
RS-CNN	Overall Accuracy 92.9	Relation-Shape Convolutional Neural Network for Point Cloud Analysis 2019-04-16	코드 1 · 코드 2 · 코드 3 · 코드 4
ASSANet	Overall Accuracy 92.9	ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning 2021-10-20	코드 1
Point-M2AE-SVM	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
Point Transformer	Overall Accuracy 92.8	Point Transformer 2020-11-02	코드 1 · 코드 2
A-CNN	Overall Accuracy 92.6	A-CNN: Annularly Convolutional Neural Networks on Point Clouds 2019-04-16	코드 1
P2Sequence	Overall Accuracy 92.6	Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network 2018-11-06	연결 없음
Point-TnT	Overall Accuracy 92.6 Number of params 3.9M	Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition 2022-04-08	코드 1
PointConv	Overall Accuracy 92.5	PointConv: Deep Convolutional Networks on 3D Point Clouds 2018-11-17	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9
PolyNet	Overall Accuracy 92.42	PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation 2021-10-15	코드 1
SpiderCNN	Overall Accuracy 92.4	SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 2018-03-30	코드 1
PCNN	Overall Accuracy 92.3	Point Convolutional Neural Networks by Extension Operators 2018-03-27	코드 1